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.
- 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 MANAGEMENT
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
AI Engineer
Newcastle upon Tyne
£70000 - £75000
+ Data Science & AI
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
AI Engineer
Location: Remote-First (UK Based)
Salary: £70,000
The Role
I’m working with a start up company who are are looking to hire an AI Engineer to help design and deploy LLM-powered tools. You’ll prototype and build end-to-end systems that extract and act on data from diverse document types using LLMs, RAG pipelines, and agent-based reasoning.
Experience Required
- Strong Python engineering skills and experience with AI tooling
- Experience building and deploying microservices (FastAPI, Kubernetes)
- Familiarity with CI/CD pipelines and modern software practices
- Background in document extraction and reasoning (LLMs, RAG, agents)
- Exposure to multimodal data (text, images, structured)
- MLOps, model monitoring, and rapid prototyping (Streamlit, Dash, etc.)
- 3-4+ years in software or ML engineering roles
The Interview Process
- Intro chat with Lead Data Scientist
- Take-home technical challenge – Focused on structuring AI software
- Final stage interview – Deep dive with the wider team
To Apply for this Job Click Here
Senior Analytics Manager
Nottingham
£70000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentNottingham, Nottinghamshire
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Senior Analytics Manager – Marketing Focus
Nottingham (remote, travel just 1x/month – expensed)
£70,000 – £85,000 + Benefits
⏱️ Urgent Hire – 1 Week Turnaround Possible
No sponsorship
We’re partnered with a high-growth, short-term lender backed by major international investment. They’re scaling fast and expanding their product line – and looking for a Senior Analytics Manager with a marketing analytics focus to help drive customer acquisition and engagement strategy.
Working directly with the Head of Data & Analytics, you’ll lead insight generation across marketing and digital channels. Projects could include predictive modelling for new product launches, campaign targeting optimisation, and customer lifetime value modelling.
✅ Background in financial services essential (FCA-regulated: bank, lender, bureau etc.)
✅ Hands-on with data, but focused on insight and leadership
✅ Experience working with statistical models
✅ Confident supporting a team and working cross-functionally
Why join?
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Be a strategic player in a scaling data function
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Huge variety – no siloed work here
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Agile, fast-paced environment without the red tape
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Real opportunity to make an impact
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Flexible working
Find out more and apply via the link below – interviews turning around fast!
To Apply for this Job Click Here
Head of Paid Search
London
£90000 - £110000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Head of Paid Search
Up to £110k + Equity | London (Hybrid, 3 days in office)
A high-growth fintech backed by top-tier investors is looking for a Head of Paid Search to lead and scale their performance marketing efforts. It’s a rare opportunity to step into a strategic, high-impact role at a business that’s hit product-market fit and is scaling fast.
The role
You’ll take full ownership of paid search strategy and execution – with a strong focus on Google – across a £1.5-2M annual budget. The role combines strategic thinking with hands-on delivery and a strong emphasis on data, experimentation, and performance.
You’ll be working closely with senior stakeholders, agency partners, and internal teams to drive efficient customer acquisition and support wider growth initiatives.
What they’re looking for
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Strong experience in Paid Search, ideally in a high-growth D2C environment
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Deep understanding of campaign data, tracking, testing, and optimisation
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Confident working both strategically and tactically – it’s a lean, agile team
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Curious about AI and automation, and how new tools can enhance performance
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Great communicator, able to bring structure and clarity in a fast-moving business
The offer
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Up to £110k base
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Equity options
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Hybrid working – 3 days in office (Central/North London)
Interview process
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Initial informal chat
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Case study & technical interview
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Final founder/CEO meeting (in-person preferred)
If you’re looking to take ownership of performance in a well-funded, scaling fintech – this one’s worth a look.
Get in touch for more info.
To Apply for this Job Click Here
Digital Marketing Manager – FS/Lending
Nottingham
£50000 - £65000
+ Digital Analytics
PermanentNottingham, Nottinghamshire
To Apply for this Job Click Here
Digital Marketing Manager – FS / Lending Focus
Nottingham (remote, 1x/month travel – expensed)
£50,000 – £65,000 (could go higher for the right person)
⏱️ Urgent Hire – 1 Week Turnaround
No sponsorship
We’re hiring for a growing digital lender backed by a major international investor – currently scaling their UK presence. With rapid growth plans and a full digital rebuild underway, they need a Digital Marketing Manager to own their performance marketing and CRM activity.
Reporting into the Head of Data & Analytics, you’ll be the go-to for Google Ads optimisation, CRM campaign delivery, A/B testing, SEO, and channel performance insight. You’ll also be a key voice in shaping the UK’s digital strategy alongside senior stakeholders – including investors.
✅ 5+ years in digital marketing
✅ Must have lending or banking experience (not insurance)
✅ Comfortable with FCA marketing guidelines (will be screened for this)
✅ Strong hands-on PPC experience, CRM/email/SMS campaigns
✅ Google Analytics (GA4), performance reporting
✅ Some mentoring/leadership exposure a big plus
Why join?
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Newly funded scale-up environment with serious growth plans
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Direct influence on strategy and spend
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More breadth and visibility than in larger FS environments
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Flexible working with minimal office requirement
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Involved in a full website revamp
CVs (with coversheet) to Rosie – interviews starting ASAP. Don’t miss this one!
To Apply for this Job Click Here
Principal Data Architect
London
£110000 - £110000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
PRINCIPAL DATA ARCHITECT
LONDON
£110,000
THE COMPANY
This global management consultancy operating in the capital markets is now looking for a Principal Data Architect to help serve their clients and manage the projects.
THE ROLE
As a Principal Data Architect you will be involved in several projects working with data structures, and ensuring that systems and solutions align with the organisation’s business goals.
Specifically, you can expect to be involved in the following:
- Managing commercial expectations including budget and revenue
- Manage and deliver projects
- Developing client relationships, identifying clients who could benefit from the company’s solutions
SKILLS AND EXPERIENCE
The successful Principal Data Architect will have the following skills and experience:
- Cloud (Azure, GCP or AWS)
- At least 8 years of experience
- Consulting experience
- Experience in the finance/insurance industry
BENEFITS
The successful Principal Data Architect will receive the following benefits:
- £110,000 yearly salary
- Hybrid working, 3 days in office
- Medical Insurance
- Pension
- And more
HOW TO APPLY
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
To Apply for this Job Click Here
Data Scientist
Northampton
£60000 - £70000
+ Data Science & AI
PermanentNorthampton, Northamptonshire
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Data Scientist
Salary: £70,000
Location: UK-based
A high-growth, data-driven company is seeking a hands-on, commercially minded Data Scientist to lead the development of intelligent matching algorithms, predictive models, and advanced recommendation systems.
This is a strategic individual contributor role where you’ll own high-impact projects from design to deployment and shape the future of search technology for some of the biggest names in private equity.
Ideal Candidate
- Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments
- Languages & Tools:
- Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)
- Advanced SQL
- AWS
- MLOps tooling (e.g., MLflow, SageMaker, or similar)
- Bonus Points For:
- Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces
- Experience with data warehouse tools (Snowflake, Redshift, BigQuery)
- Familiarity with search, matching, or recommendation systems
- Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders
Interview Process
- Screening conversation with hiring manager
- Technical discussion with the VP of Engineering
- Sign of chat with CEO
To Apply for this Job Click Here
Lead AI Engineer – Chatbot
New York
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Lead AI Engineer – Financial Services | $200,000-220,000 + Bonus + Benefits
Location: New York, NY (REMOTE)
Industry: Financial Services
Harnham is proud to partner with a dynamic and fast-growing financial services firm which works directly with people to help along their financial journey. They are looking to hire their first Lead AI Engineer, someone passionate about building innovative machine learning solutions and driving thoughtful AI & LLM initiatives at an enterprise level.
This is a unique opportunity to take a hands-on leadership role, building machine learning and LLM capabilities, while shaping a team and strategy that supports long-term innovation and responsible AI use.
THE ROLE
As Lead AI Engineer, you will:
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Partner closely with engineering and business teams to design and deliver machine learning solutions that address complex challenges.
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Build and deploy ML and LLM models that support key initiatives in chatbot, voicebot and customer support center agents.
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Lead development of NLP applications such as text classification, summarization, and information extraction to support customer engagement and insights.
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Help define meaningful performance metrics (KPIs) for AI solutions and foster an environment of transparency and learning.
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Contribute to a culture of innovation by mentoring others, sharing knowledge, and laying the groundwork for a growing AI team.
YOUR SKILLS & EXPERIENCE
We’re looking for someone with:
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5+ years of experience in applied data science, machine learning, or related AI fields. 2+ most recent years using LLM / RAG technologies.
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A degree in a STEM or quantitative field such as Computer Science, Engineering, Mathematics, or Statistics.
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A strong track record of translating technical work into business value, particularly with cross-functional or non-technical stakeholders.
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Experience leading projects end-to-end, with mentorship or team-building experience.
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Proficiency in Python and familiarity with LLM tools like LangChain, Hugging Face, Llama.
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Exposure to cloud platforms (AWS preferred, but not required) and data visualization tools.
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Comfort and familiarity working in fast-paced environments like hyper-growth startups is a plus.
THE BENEFITS
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Competitive salary range of $200,000-220,000
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Performance-based bonus
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Comprehensive health and wellness benefits
- Better than market average retirement match
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Opportunity to build a strategic AI function from the ground up in a highly respected firm
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Supportive, forward-thinking leadership team invested in responsible innovation
HOW TO APPLY
If you’re excited about building impactful AI solutions and leading with curiosity, care, and purpose, we’d love to hear from you.
Please submit your résumé to Tim Jonas using the “Apply” link on this page.
Keywords:
AI Engineering | Machine Learning | NLP | LLM | Large Language Models | Financial Services | Responsible AI | Python | Cloud | Data Science | Llama | Leadership | Agents | Cross-functional Collaboration | Team Management | LangChain | Hugging Face | Chatbots | Voicebots
To Apply for this Job Click Here
Credit Risk Manager- (Scorecards/ Strategy)
Nottingham
£60000 - £75000
+ Risk Analytics
PermanentNottingham, Nottinghamshire
To Apply for this Job Click Here
CREDIT RISK MANAGER
NOTTINGHAM- ONCE A MONTH
SALARY UP TO £75,000
Join a leading lender where you will play a pivotal role in shaping and leading the credit risk strategies.
THE ROLE
- Lead the development, execution, and refinement of credit risk strategies across acquisition, account management, and decision-making processes.
- Guide and mentor a high-performing credit risk team, promoting a culture focused on growth, collaboration, and operational excellence.
- Own and continuously improve the credit risk policy framework, decision models, and governance structures to ensure regulatory compliance and audit readiness.
- Provide executive leadership with clear, data-driven insights into portfolio performance and emerging risk trends.
- Build and maintain statistical models (e.g., probability of default models, bureau-based and custom scorecards) to support credit underwriting and customer segmentation.
- Utilize credit bureau data (e.g., TransUnion, Experian) to inform, enhance, and fine-tune risk strategies.
- Perform in-depth exploratory data analysis and ensure high data quality through comprehensive cleaning and validation processes.
- Design and manage A/B testing frameworks to assess and optimize the performance of credit risk strategies.
REQUIREMENTS
- Experience with credit strategy implementation
- Experience building scorecards
- SAS/SQL/ Python
- Experience with credit bureau data
HOW TO APPLY
Please send CVs below or
To Apply for this Job Click Here
Senior Analytics Manager
Leeds
£60000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Analytics Manager – REMOTE
FINANCIAL SERVICES EXPERIENCE REQUIRED – FCA
We’re working with a fast-growing, customer-focused lender providing flexible short-term financial solutions to underserved markets. As they scale, they are seeking a Senior Analytics Manager to lead advanced analytics initiatives and embed a data-driven culture across the business.
About the Role
You’ll play a key role in shaping the data and analytics strategy, delivering insights that drive smarter decisions across credit risk, marketing, digital, and operations. Partnering with senior leaders, you’ll turn complex data into clear, commercial outcomes.
What You’ll Do
- Lead analytics projects across key business areas
- Build models and tools to solve real-world problems
- Communicate insights to non-technical and senior stakeholders
- Champion data quality, governance, and regulatory compliance
- Manage and mentor a small team of analysts
What We’re Looking For
- 10+ years in financial services, with leadership experience
- Strong technical skills (SQL, Python or R) and statistical modelling
- Deep understanding of working with large datasets
- Excellent communication and stakeholder management skills
- Familiarity with FCA regulations
To Apply for this Job Click Here
Platform Support Engineer
London
£40000 - £45000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Role: Platform Support Engineer
Salary: £45,000
WFH: Hybrid – 2-3 days/week in Central London office
Overview
Our client is a fast-growing, outcome-led financial technology company helping individuals build a better relationship with their money. As part of a mission to deliver a world-class wealth platform, they’re hiring a Platform Support Engineer to bolster internal operations and enhance infrastructure reliability across their growing team.
Sitting within a technically diverse and highly collaborative Platform Team, you’ll play a key role in supporting end-users, maintaining core systems (AWS, Google Workspace, MDM), and driving hands-on infrastructure projects from start to finish. The role blends operations, project ownership, and platform optimisation in a modern, Mac-first, cloud-native environment.
Key Responsibilities
- Manage internal support tickets via Jira and provide high-quality end-user support
- Administer Google Workspace and support Mac, Windows, and Linux devices using MDM tools
- Support operational changes and handovers from Platform Engineering
- Own technical projects end-to-end, from scoping through to delivery
- Assist with infrastructure support and occasional patching of office systems
Ideal Candidate
- Solid experience with Linux system administration and command-line navigation
- Proficient with Google Workspace configuration and support
- Strong understanding of basic networking and connectivity troubleshooting
- Experience working with ticketing systems like Jira and documentation tools like Confluence
- Comfortable owning and delivering infrastructure and platform-focused projects
- Excellent communication skills and a user-first mindset
Nice to Haves
- Experience with Docker or containerisation workflows
- Exposure to managing larger or more complex Linux environments
- Familiarity with network administration or office infrastructure management
Tech Stack / Tools
- Linux (macOS, Windows also supported)
- Google Workspace
- MDM Tools
- Jira / Confluence
Benefits
- Outcome-led, flexible culture with true work-life balance
- 25 days holiday + flexible hours for life admin (no leave needed for appointments)
- Regular team socials and a friendly, inclusive environment
- Hybrid working model (2-3 days/week in the office)
- Mental and physical wellbeing perks (online fitness, discounted gyms)
- Salary sacrifice scheme to support your financial future
- Family-friendly policies and flexible support for parents
Interview Process
- Intro Chat – With team member(s) for culture and alignment
- Technical Interview – Problem-solving and platform knowledge
- Final Interview – Meet with wider team members on-site or virtually
To Apply for this Job Click Here
Data Analyst
London
£375 - £425
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Data Analyst (Data Wrangler, SQL, Python)
Location: Primarily remote (occasional collaboration days in London)
Contract: Until end December 2025 (strong possibility of extension)
Day Rate: £375-£425 (IR35, TBC)
About the Role
Join a specialist team within a leading financial services advisory consultancy, working on a high-profile, confidential investigation. This role is heavily focused on extracting, wrangling and preparing extremely large datasets to support complex forensic analysis and reporting.
Responsibilities
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Perform extensive data wrangling to clean, structure and prepare large datasets from multiple sources.
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Use SQL and Python (Pandas) to transform and load data into analytics environments.
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Conduct thorough quality checks, spotting inconsistencies or issues proactively.
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Support senior consultants by ensuring data is ready for robust comparative analysis and final reporting.
Why This Role Stands Out
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Consultancy experience is absolutely critical – candidates must come from a Big Four or equivalent consultancy environment. This ensures the ability to operate in fast-paced, multi-stakeholder projects, with a rigorous approach to quality and delivery.
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A forensic, investigative mindset is equally essential. This work involves dissecting sensitive datasets to identify discrepancies and support complex conclusions, far beyond typical data analyst or BI dashboard work.
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Requires expert-level SQL and Python (Pandas) skills to handle hundreds of millions to billions of rows across diverse data sources.
Key Requirements
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3-5 years’ data-focused experience in professional services or consulting environments.
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Proven track record in a Big Four or similar consultancy, delivering on complex, high-pressure projects.
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Advanced SQL for building, optimising and troubleshooting queries on very large static datasets.
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Expert Python scripting, with deep use of Pandas for data manipulation.
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Strong experience handling multiple data formats: Oracle databases, text files, XML.
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UK-based, with flexibility for occasional days in the London office.
Desirable
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Experience with financial crime, regulatory or other forensic investigations.
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Data visualisation skills to help present findings clearly.
Quick Experience Checklist
3-5 years in data-focused roles
Consultancy / Big Four background (mandatory)
Expert SQL & Python (Pandas)
Forensic, investigative approach to data
Comfortable with extremely large datasets
UK-based, willing to attend occasional London collaboration days
To Apply for this Job Click Here
Senior Data Scientist – Fintech
New York
$170000 - $190000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Data Scientist – Fintech
$170,000-$190,000 + bonus + benefits
Remote
About the Organization
Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.
What You’ll Bring
- 5+ years of data scientist (modeling) experience in applied research and production environments
- PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
- Experience with LLMs and agents
- Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Cloud environments (provider-agnostic), AWS or GCP a plus
- Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
- Publication and patent history a plus
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on NLP products
- Experience delivering LLM-based solutions
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Industry Hub
HARNHAM
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How Fraud Analytics Can Keep Your Money Safe
How Fraud Analytics Can Keep Your Money Safe We’ve previously written about how data analytics can help…
Resume Tips for Professionals in Risk Analytics
Resume Tips for Professionals in Risk Analytics There are a number of online guides about how to…
As Incidents Of Cybercrime Increase, How Can A Fraud Analyst Give Your Business Peace Of Mind?
Whilst it’s true that cybercriminals are becoming more creative and sophisticated, as are analytical techniques and the experts that wield them. Fraud Analysts…
What Skills And Attributes Do You Need To Become A Risk Analyst?
No business is risk-free and as we traverse a highly technical and ever-evolving working landscape, the number of areas where problems, perhaps even crises, may…
Risk Analytics Landscape: 2022 | Harnham Recruitment post
2022 is set to be an interesting year for Risk Analytics. According to research, the risk analytics market is expected to be worth around $54.95bn by 2027 and…
How Big Data and Risk Analytics Can Help Fight Climate Change | Harnham US Recruitment post
Data is all around us. We use it to calculate our calories and our steps to ensure a healthy body. We use it track our packages and ensure delivery to the right…
Key Fraud Trends: How to Stay Safe in the Changing Fraudscape | Harnham Recruitment post
Sharing and collecting data is part of our everyday lives. Whether our information is shared over social media, e-commerce sites, banks, or elsewhere, this can…
A new way to pay- Fintech innovation at the point of sale | Harnham Recruitment post
Instant transfers, real-time payments, virtual banks, and digital currencies – these are just a few of the ways fintech innovation has been booming in the last…
Why choose a career in credit risk | Harnham US Recruitment
Credit Risk Analyst | Has your education and work experience have given you solid skills in diligence, quantitative analysis, computer software and communication?
How marketing analytics works for banks | Harnham Recruitment post | Harnham Recruitment post
Martin Brennan, Customer Insight Manager with Permanent TSB discusses how Customer intelligence software helps | Credit Card Marketing Analytics..
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