INDUSTRY
OVERVIEW
Data and analytics roles play a pivotal and indispensable role in the Banking, Financial Services, and Insurance industry, delivering invaluable insights that inform strategic decision-making, foster innovation, and enable businesses to maintain a competitive edge. According to our BFSI data recruitment experts, the long-term significance of data and analytics jobs in the BFSI sector is evident in their ability. Driving strategic initiatives, managing risks effectively, and enhancing customer experiences.
In the UK, US, and EU, data and analytics jobs in the BFSI sector are subject to unique nuances and differences. That's where our BFSI data recruitment experts come in. According to them, the UK's financial services sector places a strong emphasis on regulatory compliance, risk management, and data privacy due to the influential role of regulatory bodies such as the Financial Conduct Authority (FCA) and the Prudential Regulation Authority (PRA). Data and analytics professionals in the UK BFSI sector may be involved in managing complex regulatory requirements, including Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations.
In the US, data and analytics jobs in the BFSI sector are influenced by various factors such as the size and diversity of the financial market, the regulatory landscape governed by organizations such as the Securities and Exchange Commission (SEC) and the Federal Reserve, and the focus on consumer protection. Data scientists and analysts in the US BFSI sector may work on areas such as risk modeling, fraud detection, and customer segmentation.
In the EU, data and analytics jobs in the BFSI sector are shaped by regulatory frameworks like the General Data Protection Regulation (GDPR) and the European Central Bank's (ECB) guidelines on risk management. The focal points are data privacy, risk assessment, and regulatory compliance. Data and analytics professionals in the EU BFSI sector may be involved in areas such as stress testing, credit risk assessment, and compliance reporting.
Across all regions, the significance of data and analytics jobs in the BFSI sector lies in their ability to drive data-driven decision-making, enhance risk management practices, optimize customer experiences, and foster innovation through advanced analytics techniques such as machine learning and artificial intelligence. Companies that invest in highly skilled data and analytics professionals are likely to gain a competitive advantage in the ever-evolving BFSI landscape. To take your first steps toward finding the perfect candidate, contact us today. Our BFSI data recruitment experts will be happy to speak with you!
CANDIDATE PROFILE
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- Technical skills: BFSI employers often seek candidates with proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Familiarity with statistical techniques, data modeling, and machine learning algorithms is also highly valued.
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- Domain knowledge: Employers in the BFSI sector typically look for candidates who have a deep understanding of the industry, including financial products, services, regulations, and market trends. Knowledge of specific areas such as risk management, fraud detection, or compliance is often sought after.
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- Analytical mindset: Employers value candidates who have strong analytical skills, including the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Problem-solving skills and attention to detail are also highly regarded.
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- Business acumen: BFSI employers often seek candidates who can translate data insights into actionable business recommendations. Understanding how data and analytics can drive business outcomes, improve customer experiences, and generate value is crucial.
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- Communication skills: Effective communication skills, both verbal and written, are highly valued in BFSI data and analytics roles. Candidates who can communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders are often preferred.
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- Adaptability and continuous learning: Given the rapidly evolving landscape of data and analytics, BFSI employers look for candidates who are adaptable to change and willing to continuously learn and upgrade their skills. Keeping up with the latest trends, technologies, and industry developments is seen as a valuable trait.
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- Ethics and integrity: Data privacy and security are critical in the BFSI sector. Employers seek candidates who demonstrate high ethical standards, integrity, and compliance with regulatory requirements when handling sensitive data. To discover more about will make the perfect candidate for your business, contact us now. Our BFSI data recruitment experts would love to hear from you.
DATA SCIENCE OVERVIEW
Data science plays a critical role in the banking, financial services, and insurance sector by helping organizations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organizations, data science has become an essential tool to analyze and interpret this data to gain insights and drive growth.
In the BFSI sector, data science is used for a variety of purposes, including fraud detection, credit risk analysis, customer segmentation, and product development. Data scientists in the sector use statistical analysis, machine learning, and data modeling techniques to develop predictive models that help organizations make informed decisions.
One of the key benefits of data science in the BFSI sector is improved risk management. Data scientists can use historical data and predictive modeling techniques to identify potential risks and mitigate them before they become a problem. This helps organizations minimize losses and maintain financial stability.
Another benefit of data science in the BFSI sector is improved customer experience. By analyzing customer data, organizations can understand their preferences and behavior, and use this information to offer personalized products and services that meet their needs.
Data science is imperative in the BFSI sector. By helping organizations make informed decisions, manage risks, and improve customer experience. As the industry continues to generate vast amounts of data, the demand for data scientists in the BFSI sector is likely to continue to grow, making it a promising career path for those interested in data science and analytics. If you're still in need of the perfect candidate for your BFSI business, contact us today. Our BFSI data recruitment specialists are here to help!
BUSINESS INTELLIGENCE OVERVIEW
Business Intelligence (BI) jobs are in high demand in the Banking, Financial Services, and Insurance (BFSI) sector. BI professionals are responsible for gathering, analyzing, and visualizing large amounts of data to provide insights that help BFSI organizations make informed decisions.
The BFSI sector relies heavily on data to manage risks, improve customer experiences, and comply with regulations. As a result, BI professionals play a critical role in helping BFSI organizations stay competitive in today's fast-paced business environment.
BI jobs in the BFSI sector require a strong understanding of financial data, regulatory compliance, and business operations. The ideal candidate should have expertise in data modeling, analytics, and visualization tools. Additionally, they should possess strong communication and problem-solving skills to work effectively with cross-functional teams.
BI jobs in the BFSI sector are a key component of a successful and thriving organization. They play a critical role in helping BFSI organizations gain insights into their operations, improve customer experiences, and make data-driven decisions. If you need more information on recruiting for BI, contact us today. Speak to our BFSI data recruitment specialists, they are here to help!
DATA MANAGEMENTÂ
Data Management jobs in the Banking, Financial Services, and Insurance (BFSI) sector are like the unsung heroes behind the scenes, working tirelessly to keep the wheels of the industry turning smoothly. With the sheer magnitude of data that BFSI organizations deal with on a daily basis, managing this vast ocean of information is no small feat. It requires a unique blend of skills and expertise to navigate through the complexities and ensure that data is organized, stored, protected, and maintained with the utmost integrity.
In the fast-paced, data-driven world of BFSI, where decisions are made in the blink of an eye and risks lurk around every corner, Data Management professionals are the gatekeepers of reliable and accurate data. They are the ones who ensure that data flows seamlessly across the organization, providing the foundation upon which strategic decisions are made, risks are mitigated, and regulations are adhered to.
But what does it take to be a Data Management pro in the BFSI sector? It's not just about being tech-savvy and having a basic understanding of data. It goes much deeper than that. These professionals need to have an in-depth understanding of the nuances of financial data, regulatory compliance, and the intricacies of business operations. They need to be the maestros of data governance, data quality, and data integration, orchestrating a symphony of data that harmoniously supports the organization's goals and objectives.
However, it's not just about crunching numbers and analyzing data. Effective communication and problem-solving skills are equally important for Data Management professionals in the BFSI sector. They need to be able to effectively collaborate with cross-functional teams, navigating through the maze of stakeholders, departments, and systems to ensure that data is managed in a way that adds value to the organization. For more expert hiring advice, speak to our BFSI data recruitment consultants today!
RISK ANALYTICS
In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Risk Analytics jobs are indispensable. These roles involve delving into vast amounts of data to uncover potential risks and opportunities, providing valuable insights that empower organizations to make informed decisions in the face of uncertainty.
BFSI organizations operate in a constantly evolving environment, where a multitude of risks lurk. This is where Risk Analytics professionals step in, playing a pivotal role in proactive risk management, loss mitigation, and profit maximization.
Deep expertise in financial data, statistical analysis, and business operations is a must for Risk Analytics jobs in the BFSI sector. The ideal candidate is well-versed in risk modeling, scenario analysis, and stress testing, and possesses exceptional communication and problem-solving skills to collaborate effectively with cross-functional teams.
Being part of the Risk Analytics team in the BFSI sector means being an integral part of organizational success. You will help identify potential risks and opportunities, guide decision-making, and keep organizations competitive in today's ever-changing business landscape. Expect the unexpected, analyze the complexities, and unlock insights that drive strategic outcomes. Don't navigate risk analytics recruitment alone. Contact our BFSI data recruitment experts today!
CUSTOMER ANALYTICS
Customer Analytics roles within the dynamic realm of the Banking, Financial Services, and Insurance (BFSI) sector are nothing short of paramount. These professionals are tasked with delving into the labyrinthine depths of customer data to unravel the enigmatic patterns of customer behavior, preferences, and needs. Armed with these invaluable insights, organizations can fashion bespoke products and services that cater to the idiosyncratic demands of their discerning clientele.
In the cutthroat landscape of the BFSI sector, where competition is rife and innovation is imperative, comprehending customer behavior and preferences takes center stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organizations to gain a strategic edge, enhance customer satisfaction, and propel growth to unprecedented heights.
Flourishing in the realm of Customer Analytics within the BFSI sector calls for an astute grasp of customer data, proficiency in statistical analysis, and a profound understanding of business operations. The ideal candidate is a virtuoso in customer segmentation, adept in predictive modeling, and a maestro in data visualization. Furthermore, exceptional communication and problem-solving skills are essential to collaborate effectively with multifaceted, cross-functional teams.
Embarking on a career in Customer Analytics for the BFSI sector bestows upon you an indomitable sense of purpose as you become a linchpin of success for BFSI organizations. Your prowess in unearthing customer behavior, preferences, and needs will serve as the catalyst for crafting tailor-made products and services that cater to the distinctive requirements of your esteemed customers. To find out more, contact our BFSI data recruitment experts now!
JOBS
LATEST financial services
DATA JOBS
ML Engineering Manager
Denver
$220000 - $240000
+ Data Science & AI
PermanentDenver, Colorado
To Apply for this Job Click Here
ML Engineering Manager
Fully Remote (U.S.) | 4-Day Work Week (No Fridays)
Up to $245K Base + Bonus + Equity
U.S. Citizen or Green Card Required
We’re partnering with an innovative, AI-driven company seeking a hands-on ML Engineering Manager to lead a team focused on building and deploying machine learning models at scale.
What You’ll Do:
- Lead and mentor a high-performing team of ML Engineers and Applied Scientists
- Drive the development of production machine learning systems and experimentation frameworks
- Balance near-term delivery goals with longer-term innovation initiatives
- Partner with technical and business stakeholders to turn data-driven insights into impact
- Stay close to the technology as a true player-coach while growing and developing your team
What We’re Looking For:
- 5+ years of ML, Data Science, or ML-focused Software Engineering experience
- 3+ years of people management experience
- Strong background in machine learning, experimentation, and production systems
- Proven ability to lead teams through ambiguity and complex technical challenges
- Excellent communication and stakeholder management skills
This is a rare opportunity to join a highly technical organization solving complex problems with AI while enjoying a true work-life balance through a four-day work week.
Reach out for more details. Confidential search.
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Digital Analyst
London
£45000 - £52000
+ Advanced Analytics & Marketing Insights
ContractLondon
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Digital Analyst
Location: London (Hybrid)
Salary: £45,000 – £52,000 + Bonus + Benefits
About the Role
We are partnering with an established UK-based organisation to recruit a Digital Analyst to join a growing digital analytics function.
This is an exciting opportunity for an analytically minded professional with hands-on experience in Google Analytics 4 (GA4) and Google Tag Manager (GTM) to help shape digital product development and optimisation strategies across a large-scale digital estate, including websites, customer portals, online journeys and mobile experiences.
You’ll work closely with product, marketing, technology and analytics teams, delivering actionable insights that improve customer experiences and support business growth.
Key Responsibilities
- Analyse digital performance data across multiple platforms and datasets
- Partner with product and marketing teams to identify opportunities, challenges and optimisation initiatives
- Deliver actionable insights and recommendations to support decision-making and prioritisation
- Design, build and maintain performance reports and dashboards
- Monitor and improve data quality, identifying and resolving tagging and tracking issues
- Support the implementation and management of tracking through Google Tag Manager
- Maintain and optimise Google Analytics 4 environments
- Present findings and recommendations to a range of business stakeholders
- Collaborate with technical teams on tracking implementations and measurement frameworks
About You
Essential Skills & Experience
- 2+ years’ experience in a Digital Analytics, Web Analytics or similar role
- Strong hands-on experience with Google Analytics 4 (GA4)
- Experience managing tags, triggers, variables and data layers using Google Tag Manager
- Experience creating reports and dashboards using tools such as Looker Studio and/or Power BI
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management abilities
- Highly organised with the ability to manage competing priorities
- Proactive approach to learning and continuous development
Desirable
- Experience working with SQL
- Exposure to BigQuery
- Experience supporting digital product development or experimentation programmes
Benefits
- Competitive salary and performance-related bonus
- Hybrid working model
- Generous annual leave allowance
- Pension scheme
- Private healthcare options
- Life assurance
- Employee wellbeing programmes
- Professional development and training support
- Opportunities for career progression within a growing digital function
- Collaborative and supportive team environment
Why Apply?
This is a fantastic opportunity to join a forward-thinking organisation where data plays a central role in shaping digital experiences. You’ll have the opportunity to influence product decisions, develop your technical analytics expertise and work alongside experienced digital professionals in a highly collaborative environment.
How to Apply
To apply, please submit your CV via LinkedIn Easy Apply or reach out to me directly!
To Apply for this Job Click Here
Head of Credit Risk – Cards
$365091 - $486788
+ Risk Analytics
PermanentVirginia
To Apply for this Job Click Here
Head of Credit Risk
DMV Area – Virginia
Up to $400,000 + equity
A high-growth fintech lender is seeking an experienced credit leader to help scale and optimise an international credit card business.
This is a rare opportunity to join a well-funded and profitable, entrepreneurial environment where you’ll have significant influence over portfolio strategy, growth, risk management and future market expansion.
Reporting into a senior executive leadership team, you’ll own credit performance across multiple markets, leading strategy across teh customer lifecycle while helping shape the next phase of growth.
You’ll combine strategic thinking with a willingness to roll your sleeves up. This is not a large corporate environment. We are looking for someone who enjoys building, testing, refining and executing.
What you’ll be doing
- Owning end-to-end credit strategy across multiple growth stage card portfolios
- Leading portfolio growth whilst maintaining strong risk discipline
- Developing acquisition, underwriting, line management and portfolio optimisation strategies
- Using data and analytics to identify growth opportunities and improve performance
- Partnering closely with product, data science, marketing, finance and operations teams
- Supporting capital and funding discussions through strong understanding of portfolio performance and asset quality
- Growing and developing a high-performing credit team
- Contributing directly to analysis, modelling and strategy development
What we’re looking for
- Significant experience within credit cards is essential
- Deep expertise across the customer and credit lifecycle
- Strong understanding of credit risk, portfolio management and lending economics
- Experience scaling or building credit businesses in growth environments
- Ability to combine strategic leadership with hands-on execution
- Strong analytical and coding capability
- Experience operating within fintech, challenger banks or high-growth lending businesses preferred
- International market experience is highly desirable
Why consider it?
- Genuine opportunity to influence company strategy
- Highly visible leadership position
- Strong growth trajectory and significant investment behind the business
- Entrepreneurial culture with minimal bureaucracy
- Attractive compensation package including meaningful equity participation
To Apply for this Job Click Here
Data Scientist
£550 - £625
+ Data Science & AI
ContractEngland
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Data Scientist Consultant
Remote (UK) | £550- £625 Inside IR35 | 3 Month contract with high potentital to extend
This is a fantastic opportunity to join an innovative data and analytics organisation that is investing heavily in advanced analytics, machine learning, and cloud technologies. You will play a key role in developing next-generation predictive models, risk solutions, and data-driven products that help businesses make smarter decisions.
The Company
They are a leading data, analytics, and technology business that helps organisations unlock value from complex datasets. Through advanced analytics, machine learning, and cloud-based platforms, they deliver solutions across risk management, fraud prevention, customer insights, and business intelligence. Their teams work on innovative products that combine rich data assets with cutting-edge analytical techniques to solve commercial challenges.
The Role and Deliverables
- Design, develop, and deploy predictive models, risk scorecards, and advanced analytical solutions.
- Build and optimise scalable data pipelines to support large and complex datasets.
- Apply statistical modelling and machine learning techniques to solve commercial risk, fraud, and business performance challenges.
- Develop innovative data products and prototype new analytical methodologies.
- Collaborate with product, engineering, and commercial teams to translate business challenges into data-driven solutions.
- Present insights and recommendations to stakeholders while maintaining high standards of data quality, governance, and regulatory compliance.
Your Skills & Experience
Tech Stack: Python, SQL, Google Cloud Platform (GCP)
- Strong experience with Python and SQL for data science and advanced analytics.
- Experience developing predictive models, scorecards, and machine learning solutions.
- Strong knowledge of Google Cloud Platform (GCP) and cloud-based analytics environments.
- Experience working with commercial, financial, credit bureau, or business datasets.
- Understanding of feature engineering, model validation, auditing, and data quality frameworks.
- Knowledge of machine learning techniques including XGBoost, Random Forests, and Neural Networks.
- Familiarity with Git version control and software engineering best practices.
- Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
- Experience within credit risk, commercial lending, fraud analytics, or financial services is highly desirable.
- Knowledge of regulatory frameworks relating to risk and financial services would be advantageous.
How to Apply
If you are passionate about data science, machine learning, predictive modelling, and building innovative analytics products, apply today to learn more about this opportunity.
To Apply for this Job Click Here
AI Product Director
San Francisco
$275000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
About the Company
Harnham is partnering with an established alternative finance company that has supported small and medium-sized businesses since 2008. The organization provides term loans ranging from $10,000 to $15 million and is known for a fast lending experience, with underwriting decisions and offers available the same day and funding available as soon as the following business day.
The company is transforming traditional small-business lending through AI-powered decisioning. Production AI agents are already operating across credit and underwriting workflows, supported by 18 years of proprietary credit data. With the first phase of the transformation approximately 70 percent complete, the organization is preparing to expand its AI capabilities into Sales, Customer Lifecycle, Finance, and Capital Markets.
The Opportunity
The AI Product Director will lead the next phase of an organization-wide AI transformation. Partnering closely with the Chief Credit Officer and executive leadership, this person will shape product design and roadmapping while translating strategic business priorities into AI products that deliver measurable operational and commercial results.
The Director will manage two AI Product Managers and oversee multiple product pods, with two to three initiatives typically running concurrently. Each initiative begins with understanding how the business operates today, identifying undocumented edge cases and workarounds, and reimagining the process from the ground up around AI.
Success requires a strong combination of product strategy, technical fluency, and hands-on delivery. The ideal candidate has contributed directly to AI solution design, participated in architecture decisions, and taken AI-enabled products from concept through production adoption.
What You Will Do
* Partner with executive leadership to translate business priorities into actionable AI product roadmaps.
* Lead product design and roadmapping across Credit, Sales, Customer Lifecycle, Finance, Capital Markets, and other business functions.
* Manage, coach, and develop two AI Product Managers while establishing consistent standards for discovery, design, documentation, and delivery.
* Oversee two to three concurrent AI product initiatives without compromising quality, stakeholder trust, or delivery outcomes.
* Lead discovery sessions with subject matter experts to map workflows, uncover edge cases, and understand operational workarounds.
* Reimagine business processes from first principles using AI rather than adding automation to existing workflows.
* Create detailed product specifications and design briefs for internal engineering teams and external development partners.
* Contribute directly to AI solution design, architecture discussions, evaluation approaches, and production-readiness decisions.
* Evaluate and select the appropriate engineering partner for each initiative.
* Manage external engineering partners against defined specifications, acceptance criteria, timelines, and quality standards.
* Establish evaluation frameworks using golden datasets, human review, deterministic checks, shadow testing, and other appropriate methods.
* Build compliance, explainability, auditability, and model-governance requirements into product designs before development begins.
* Lead quality control before products reach end users and measure results against clear preimplementation baselines.
* Partner with Data Science, Engineering, Technology, Risk, and functional leadership to support scalable and reliable AI products.
* Build trust with subject matter experts and functional leaders, address resistance thoughtfully, and drive adoption across the organization.
* Communicate product direction, progress, risks, tradeoffs, and measurable outcomes clearly to executive stakeholders.
What You Will Bring
* Eight or more years of product management experience, including leadership of complex AI, machine learning, or technology products.
* A demonstrated record of taking AI-enabled products from initial concept through production deployment and adoption.
* Experience reimagining a business process from the ground up using AI.
* Direct involvement in AI solution design, product architecture discussions, or technical blueprint creation.
* Practitioner-level understanding of generative AI, large language models, agentic patterns, orchestration, evaluation methods, hallucination mitigation, and golden datasets.
* Experience creating detailed product specifications or design briefs for engineering teams.
* Experience selecting, managing, and holding external engineering partners accountable to defined requirements.
* Proven ability to lead multiple concurrent product initiatives while maintaining delivery quality.
* Experience managing and developing Product Managers.
* Strong executive presence with the ability to influence functional leaders, communicate technical tradeoffs, and represent product direction independently.
* Working knowledge of responsible AI, model governance, explainability, and regulated decisioning.
* Familiarity with FCRA, ECOA, Regulation B, Fair Lending, adverse-action requirements, or comparable regulatory frameworks.
* Bachelor’s degree in Business, Computer Science, Engineering, Economics, or a related discipline.
Preferred Qualifications
* Product leadership experience within fintech, lending, payments, credit decisioning, risk technology, or another regulated financial environment.
* Experience working within a growing technology company where product leaders balance strategy with hands-on execution.
* Experience introducing AI products into established business workflows and leading the accompanying organizational change.
* Master’s degree in a relevant discipline.
Compensation and Workplace
The anticipated base salary range for this position is $275,000 to $300,000 per year. The final offer will depend on relevant experience, qualifications, specialized expertise, and other legitimate business considerations.
Additional performance-based cash compensation may be available. Relocation support may also be considered for qualified candidates.
The position requires two to three days onsite each week in the San Francisco Bay Area. The role will operate remotely until the company’s shared Bay Area workspace is finalized.
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Software Engineer – Treasury
London
£180000 - £200000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Software Engineer – Treasury
Up to £200,000
London (4-5 days a week in office)
If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.
THE COMPANY
They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.
Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.
THE ROLE
As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.
Specifically, you can expect to be involved in the following:
- Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
- Take ownership of systems and applications from development through to deployment and ongoing enhancement
- Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
- Work across a mix of modern Python services and established object-oriented codebases
- Contribute to architectural discussions and system design decisions
- Partner with teams across technology and operations to solve complex business challenges
SKILLS AND EXPERIENCE
The successful Software Engineer will have the following skills and experience:
- Strong commercial software engineering experience with Python in a production environment
- Experience with at least one object-oriented programming language such as Java, C#, or C++
- Strong SQL skills and experience working with relational databases
- Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
- Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
- Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable
BENEFITS
The successful Software Engineer will receive the following benefits:
- Salary up to £200,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Financial Crime Business Analyst
London
£400 - £480
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
FINANCIAL CRIME BUSINESS ANALYST
LONDON – 2 DAYS ONSITE
£400 TO £480 PER DAY
3 MONTH CONTRACT
IMMEDIATLY AVAILABLE
This is an opportunity to play a key role in a high-impact financial crime change programme within a fast-growing financial services business. You’ll work across compliance, risk, product, engineering and operations teams to strengthen controls, improve processes, and help deliver meaningful regulatory change at pace.
The Company
They are an innovative financial services organisation focused on delivering modern, customer-centric financial products. Operating in a regulated environment, they continue to invest in their technology, controls, and operational capabilities to support growth. Their collaborative culture brings together business and technical teams to solve complex challenges and deliver impactful change. This contract assignment sits within a business transformation function responsible for delivering regulatory, technical, and process improvements.
The Role and Deliverables
- Elicit, analyse, and document business requirements across financial crime controls, AML, KYC/KYB processes, data architecture, and operational workflows.
- Map current-state processes and identify gaps against regulatory requirements, internal policies, and business objectives.
- Define future-state requirements and functional specifications, ensuring alignment across business and technology stakeholders.
- Support the design and implementation of enhanced financial crime controls, monitoring processes, workflows, and supporting data structures.
- Produce clear, governance-ready documentation to support change delivery, stakeholder approval, and audit requirements.
- Collaborate with engineering and QA teams during testing, validation, and implementation of new solutions.
Your Skills & Experience
- Strong experience delivering business analysis within financial crime, AML, fraud prevention, KYC, KYB, or related regulatory control environments.
- Proven ability to operate independently, managing ambiguity and driving outcomes with minimal supervision.
- Recent experience working within a regulated financial services organisation.
- Demonstrated success delivering change in fast-paced start-up, scale-up, or high-growth environments.
- Strong stakeholder management skills, with the ability to engage effectively across compliance, risk, operations, product, and technology teams.
- Experience producing high-quality business requirements, process documentation, and audit-ready artefacts.
- Confident facilitating workshops, gathering requirements, and translating complex business needs into actionable solutions.
- Comfortable balancing competing priorities while maintaining strong governance and communication standards.
To Apply for this Job Click Here
AI Automation Lead
London
£80000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI Automation Lead
London (3 Days a week)
The Company
They are a well-established investment-focused organisation with a strong track record of managing sophisticated portfolios. The business fosters a collaborative and forward-thinking culture, where technology and data are central to operational excellence. With a focus on innovation and continuous improvement, they are investing heavily in modern data and AI capabilities to drive impact across core functions. The environment encourages ownership, creativity, and cross-functional collaboration.
The Role
- Design and deliver a fully automated, end-to-end reporting platform
- Build intelligent workflows to automate data ingestion, validation, and reconciliation processes
- Develop scalable systems that replace manual operational tasks with robust, observable solutions
- Implement exception handling and human-in-the-loop mechanisms where needed
- Ensure systems are accurate, auditable, and resilient in a production environment
- Collaborate closely with cross-functional stakeholders to translate operational requirements into technical solutions
Your Skills and Experience
- Strong commercial experience in applied AI or automation engineering within operational environments
- Strong programming skills in Python and SQL
- Experience building data pipelines and integrating systems via APIs and structured data feeds
- Proven ability to build reliable, production-grade systems with monitoring and testing in place
- Experience with version control and CI/CD practices
- Strong system design capability with an end-to-end mindset
What They Offer
- Competitive salary and comprehensive benefits package
- Opportunity to build a high-impact AI platform from inception
- A collaborative and inclusive working culture
- Strong exposure to modern AI, data engineering, and automation technologies
- Clear scope for professional growth and ownership of key systems
How to Apply
If you are interested in applying for this Applied AI Engineer role, please submit your CV for consideration.
To Apply for this Job Click Here
Data Analyst
London
£70000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
FP&A Business Partner
Victoria, London | Hybrid
Up to £75,000
The Overview
A unique opportunity has arisen for a commercially minded FP&A Business Partner to join a high-performing global organisation at the intersection of finance, data analytics, and strategic investment. This role offers exposure to senior leadership, board-level reporting, and business-critical investment decisions, while giving you the chance to shape and improve a growing reporting environment.
The Company
This international professional services organisation operates across multiple regions and supports a diverse client base through strategic advisory and consulting services. They have built a reputation for analytical excellence and commercially driven decision-making.
As part of a highly visible Group Finance function, you will work closely with senior stakeholders across the business, supporting performance reporting, investment analysis, and reporting transformation initiatives. The team is investing heavily in its data and reporting capabilities, creating an excellent opportunity to influence future processes and decision-making.
The Role
As an FP&A Business Partner, you will combine financial understanding with strong data and analytics expertise to deliver meaningful business insight.
You will:
- Support monthly business performance and investment reporting across the organisation
- Collect, validate, cleanse, and consolidate operational and financial data from multiple sources
- Develop and enhance reporting solutions using Excel, Power BI, SQL, and related tools
- Produce board-level reporting packs and presentations for senior stakeholders
- Analyse profitability, utilisation, investment performance, and key business KPIs
- Translate complex datasets into clear commercial recommendations and actionable insights
- Partner with Finance, Operations, and Data teams to improve reporting processes and data quality
- Support investment initiatives by evaluating performance, ROI, and business outcomes
- Contribute to the ongoing development of the organisation’s data warehouse and reporting architecture
- Drive continuous improvement through automation, standardisation, and enhanced management information
Your Skills & Experience
- Advanced Excel skills including XLOOKUP, INDEX MATCH, SUMIFS, complex reporting models, and large dataset analysis
- Strong Power BI experience covering dashboard development, data modelling, Power Query, and reporting
- Solid DAX capability with experience creating business-focused measures and calculations
- Strong SQL knowledge for querying, joining, and transforming data
- Experience working with multiple data sources and fragmented datasets
- Ability to create meaningful reporting and performance insights for business stakeholders
- Strong stakeholder management and communication skills
- Experience within professional services, consulting, financial services, or another KPI-driven commercial environment would be advantageous
- Background in Data Analytics, BI, Reporting Analytics, Commercial Analytics, or a similar data-focused role
- Comfortable working between business users and technical data teams
What They Offer
- Salary of £70,000 – £75,000
- 5% Profit Share Bonus
- Hybrid working model with 3 days per week in the Victoria office
- Exposure to strategic investment and business performance initiatives
- Opportunity to influence reporting transformation and data maturity
- High levels of stakeholder exposure, including board-level interaction
- Clear opportunities to broaden commercial, finance, and analytics expertise
- A collaborative environment focused on continuous improvement and professional development
To Apply for this Job Click Here
Data Analyst
London
£70000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Analyst
London (Hybrid, 3 days in office) | £70,000 – £75,000
No sponsorship offered
Must come from Financial services or consulting
Looking for a role that combines data analytics, commercial insight, and strategic decision-making? This is an opportunity to join a high-performing finance and business performance function where you’ll play a key role in transforming complex operational and financial data into actionable business insight. Working closely with senior stakeholders, you’ll help shape reporting frameworks, support investment decision-making, and drive improvements across the reporting landscape.
The Company
This international professional services organisation operates across multiple markets and supports a diverse client base through advisory and consulting services. They are investing heavily in data, reporting, and business performance capabilities, creating an exciting opportunity for a commercially minded Data Analyst to make a real impact.
The business is building a more mature data environment while continuing to enhance how performance and investment decisions are measured. As part of a collaborative and highly visible team, you’ll have exposure to senior leadership and strategic initiatives across the organisation.
The Role
As a Data Analyst, you will sit at the intersection of business performance, reporting, and analytics, helping stakeholders understand profitability, performance, utilisation, and investment outcomes.
You will:
- Collect, validate, and analyse operational and financial data from multiple business functions
- Consolidate data from various sources and transform it into meaningful reporting outputs
- Develop and maintain reporting solutions using Excel and Power BI
- Create board-level reporting packs and presentations for senior stakeholders
- Analyse business performance, profitability, utilisation, and key commercial KPIs
- Support investment performance reporting and strategic decision-making
- Improve reporting processes, data quality, and reporting governance
- Work with data warehouse outputs while managing data validation and reconciliation requirements
- Partner with business stakeholders to understand reporting needs and deliver actionable insight
- Act as a bridge between business users and technical data teams
- Deliver ad hoc analysis to support commercial and operational objectives
Your Skills & Experience
To be successful in this role, you will have:
- Experience working as a Data Analyst, BI Analyst, Reporting Analyst, Commercial Analyst, or similar
- A background within Financial Services, Consulting, Professional Services, or another KPI-driven corporate environment
- Advanced Excel skills including complex reporting, data manipulation, XLOOKUP, INDEX MATCH, and SUMIFS
- Strong Power BI experience covering dashboard development, data modelling, reporting, and Power Query
- Good working knowledge of DAX and the ability to create meaningful business metrics and calculations
- Strong SQL skills for data extraction, transformation, and analysis
- Experience working with multiple datasets and handling fragmented or imperfect data
- Strong stakeholder management and communication skills
- The ability to translate data into clear commercial insights and recommendations
- A proactive approach to improving reporting processes and creating scalable solutions
What They Offer
- £70,000 – £75,000 base salary
- Hybrid working model with 3 days per week in a Central London office
- Exposure to senior leadership and board-level reporting
- Opportunity to influence reporting transformation and data maturity initiatives
- Broad, commercially focused role spanning data analytics, business performance, and investment reporting
- Career progression within a growing and highly visible function
- Collaborative environment with strong stakeholder exposure across the business
How to Apply
If you’re a Data Analyst from a Financial Services, Consulting, or Professional Services background and are looking for a role with significant business exposure and the opportunity to influence strategic decision-making, apply today to learn more.
To Apply for this Job Click Here
Senior Data Engineer
London
£90000 - £100000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Data Engineer
Remote (UK) – Quarterly team meetups in London
Up to £100,000 + Excellent Benefits
Build the data platform powering one of the UK’s fastest-growing tech scale-ups.
We’re partnering with an exciting, venture-backed technology business that’s redefining its industry through a modern, mobile-first platform. Having recently secured £30m in Series C funding, the company is entering its next phase of growth and investing heavily in its data platform to support millions of customer interactions and lower-latency analytics.
If you’re an engineer who enjoys solving complex technical challenges, building scalable platforms and working in a high-performing engineering culture, this is an opportunity to make a genuine impact.
THE COMPANY
This fast-growing UK technology business has built a modern digital platform designed for today’s users, combining exceptional product design with cutting-edge engineering. With significant recent investment and ambitious growth plans, they’re expanding their Data Engineering function to build the next generation of their data platform.
Engineering quality is everything here. The team sets an exceptionally high technical bar, values ownership and autonomy, and gives engineers the opportunity to shape architecture, tooling and best practices from day one.
THE ROLE
You’ll join a growing Data Engineering team focused on scaling the company’s data platform to support continued customer growth.
Current projects include building a full staging environment, improving monitoring and observability, enhancing engineering tooling, and enabling lower-latency analytics across the business.
Working end-to-end across the data platform, you’ll design, build and optimise scalable data pipelines while helping evolve the overall architecture.
Key responsibilities include:
- Designing and building scalable data pipelines using Python and SQL
- Developing solutions with Snowflake, dbt and modern orchestration tools such as Dagster or Airflow
- Building and improving cloud-native data infrastructure on AWS (or transferable GCP experience)
- Developing scalable data models and supporting the wider platform architecture
- Improving testing, monitoring and engineering best practices across the platform
- Working across both greenfield initiatives and existing production environments
- Collaborating with engineers to deliver robust, production-grade data solutions
YOUR SKILLS AND EXPERIENCE
We’re looking for experienced engineers who have built modern data platforms in fast-moving technology businesses.
You’ll ideally have:
- Strong Python and SQL experience
- Experience with Snowflake
- Experience using dbt
- Experience with Dagster, Airflow or another modern orchestration framework
- AWS experience (GCP also considered)
- Strong understanding of data modelling principles
- Experience building end-to-end data platforms
- A software engineering or backend engineering background is highly desirable
- Experience working within product-led scale-ups or smaller technology companies
- A passion for clean code, testing and engineering best practices
THE BENEFITS
- Salary up to £100,000
- Fully remote working across the UK
- Quarterly London team meetups
- Private healthcare
- Income protection
- Enhanced annual leave with tenure increases
- Fully supported home office setup
- Salary sacrifice schemes
- Retail discounts and wellbeing benefits
- Join a rapidly growing, Series C-funded technology company where engineering is at the heart of the business
HOW TO APPLY
Please register your interest by sending your CV to Max at Harnham via the Apply link on this page.
To Apply for this Job Click Here
Product Manager
London
£70000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Mobile Product Manager
London, Hybrid
Salary up to £80,000
This is an opportunity to take ownership of a high-impact mobile product used daily by engaged customers. You will shape the direction of a premium mobile experience, working at the intersection of product, data, and emerging AI technologies to deliver tangible user outcomes.
The Company
They are a fast-growing, investor-backed technology business operating in the digital finance space. Their focus is on delivering intuitive, high-quality products that help users better understand and manage complex information. With a collaborative and delivery-focused culture, they combine data, design, and engineering to create meaningful user experiences. The team is scaling steadily and offers strong exposure to innovation in AI-driven product development.
The Role
- Own the mobile product experience across iOS and Android, setting direction and managing the roadmap
- Work closely with a dedicated cross-functional squad to deliver high-quality product releases
- Use product analytics and user data to inform decision-making and continuously improve performance
- Refine and optimise the user experience, focusing on usability, speed, and clarity
- Enhance product development processes, improving collaboration between product and engineering
- Explore and implement emerging technologies, including AI tools, to improve product delivery
Your Skills and Experience
- Strong commercial experience in mobile product management within a consumer-facing environment
- Proven track record of delivering native iOS and Android applications
- Data-driven mindset with the ability to translate insights into product improvements
- High attention to detail with a focus on delivering polished user experiences
- Interest in AI and new product development tools, with a willingness to experiment and learn
- Confident communication skills and the ability to collaborate across technical and non-technical teams
How to Apply
If you are interested in this Mobile Product Manager role, please apply with your CV to start the conversation.
To Apply for this Job Click Here
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