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
Senior Analyst
London
£70000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Analyst
Location: London – 3 days per week
Salary: Up to £85,000
A private equity-backed company in the green tech space is looking for a Data Scientist / Analytics professional to join a growing team. This is a hands-on role with real ownership, helping the business turn large volumes of data into actionable commercial insights.
What You’ll Do:
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Work closely with the Head of Analytics to deliver actionable insights across the network of charging points
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Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth
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Build statistical models for segmentation, regression, predictive modelling, and forecasting
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Support pricing and revenue optimisation initiatives, including dynamic pricing strategies
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Query and process large datasets coming from multiple real-time sources
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Translate complex analysis into clear recommendations for non-technical stakeholders
What You’ll Need:
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Strong SQL and Python skills; experience in AWS environments is a plus
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Solid statistical analysis background (segmentation, regression, forecasting)
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Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment
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Excellent communication skills and ability to take ownership of projects
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Experience delivering actionable insights rather than exploratory or purely machine learning work
Interview Process:
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Remote competency interview and CV review
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Face-to-face interview with testing component (details to be confirmed)
Find out more and apply via the link below.
To Apply for this Job Click Here
Principal Data Engineer
Leeds
£75000 - £81000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Principal Data Engineer – hyrbid (Leeds) – £70k-£80k
Are you an experienced Azure Data Engineer looking to make an impact in an established financial insitution. We are seeking a hands-on professional to join a high-performing team tasked with building and enhancing a modern Azure data platform, with an expertise in Databricks.
About the Role:
In this role, you will play a key part in developing ETL pipelines, optimizing data integration processes, and supporting data-driven decision-making across the business. You’ll collaborate with stakeholders to understand data requirements, contribute to architectural decisions, and support the migration of reporting services to Azure.
Key Responsibilities:
- Design, build, and maintain ETL pipelines using Azure Data Factory, Azure Data Lake, Synapse, and Databricks.
- Design and build a greenfield Azure data platform to support business-critical data needs.
- Collaborate with stakeholders across the organization to gather and define data requirements.
- Assist in the migration of reporting services from on-premises to Azure.
- Evaluate and validate design decisions to ensure optimal data architecture.
- Work closely with marketing and insights teams to provide actionable data outputs.
- Opportunity to transition into a leadership role, supporting the development of junior team members.
Key Skills & Experience:
- 5+ years of experience in Azure (ADF, Data Lake, Synapse).
- Strong SQL skills for data integration and reporting.
- Experience with Power BI for visualization and analytics.
- Familiarity with Python (preferred but not currently in use, planned for future projects).
- Knowledge of modern data warehousing techniques.
- Ability to work effectively in both Waterfall and Agile environments.
- Excellent communication skills for stakeholder engagement.
If you’re passionate about data engineering, eager to expand your Azure expertise, and excited to be part of a collaborative and growing team, we’d love to hear from you!
To Apply for this Job Click Here
Senior Product Designer
City of London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
Senior Product Designer | FTSE 250 FinTech
What you’ll do
Join one of the UK’s largest trading and investment platforms, trusted by over half the market. You’ll play a key role in elevating design standards across web and mobile, improving journeys for users trading in stocks, shares, forex, and crypto.
Working closely with the Design Lead, you’ll lead end-to-end design-from discovery and research through to delivery-helping shape intuitive onboarding flows, dashboards, and trading experiences used by millions.
What you’ll bring
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Proven experience in fintech or financial platforms (web or mobile).
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Strong portfolio showing UX research, discovery, and product design thinking.
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Confident collaborating in cross-functional squads with Product, Engineering, and Research.
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Passion for raising design standards and delivering seamless user journeys.
Why join
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FTSE 250 brand with 50% market share in forex training.
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Backed by major investment and a mission to redefine digital finance experiences.
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Hybrid working (London HQ) and supportive, collaborative design culture.
Next step: Send your portfolio and CV showing recent product design work (ideally in fintech or trading apps).
To Apply for this Job Click Here
Head of Credit Risk Analytics
London
£100000 - £120000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
HEAD OF CREDIT RISK ANALYTICS
£120,000
LONDON
This consumer lending financial institution have quickly grown to be a top tech driven lender over the past ten years and have a big name in their product specific market. They have also lent over £2.5 billion since they started as a business and have a wide customer base.
THE ROLE
The role will be responsible for owning credit performance in the business and heading up a small team.
The remit of the role includes:
- Credit Strategy
- Data Science (scorecards, forecasting, modelling)
- Collections Strategy and Portfolio Performance
SKILLS AND EXPERIENCE
Essential:
- Consumer Credit Risk Strategy experience
- Consumer lending background – banking, digital lending or fintech
- Analytical background – coming from a SAS, SQL, Python background (this role won’t be hands on coding)
- Leadership – team management experience
- A strong university degree in a numerate discipline
Desired:
- Experience with data science credit models or scorecards in general
SALARY AND BENEFITS
- £120,000 base salary
- Discretionary Bonus
- Pension contribution
- Private Healthcare
HOW TO APPLY
Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.
To Apply for this Job Click Here
Director of Sales Analytics
New York, New York
$200000 - $240000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
DIRECTOR OF SALES ANALYTICS
REMOTE – U.S. BASED
$200,000 – $240,000 BASE SALARY + BONUS + BENEFITS
COMPANY:
Our client is a fast-growing leader in the consumer finance space, focused on helping people reach lasting financial freedom. They’re in the midst of a major digital and analytics transformation-building smarter systems, deeper insights, and scalable tools to drive stronger performance and more personalized customer acquisition.
ROLE:
The Director of Sales Analytics will own the analytical strategy behind a large-scale, high-volume sales and customer support center operation. This leader will uncover insights that drive lead conversion, agent productivity, and overall sales performance-partnering directly with senior executives across Finance, Sales, and Strategy.
This is a hands-on, high-impact role suited for a strategic analytics professional who thrives in fast-paced, data-driven environments. You’ll oversee funnel and agent analytics, develop predictive models, and translate data into clear recommendations that shape sales execution and business direction.
RESPONSIBILITIES:
- Design and execute the sales and customer support center analytics roadmap to improve performance across the funnel.
- Build and maintain SQL- and Python-based models to enhance lead conversion, contact rates, and agent productivity.
- Partner with Finance and Sales leadership to refine forecasting frameworks and track sales performance.
- Collaborate with Sales Operations to optimize lead routing, territory design, and contact strategies.
- Develop dashboards and reports (Sigma, Tableau, Power BI) to visualize key KPIs and funnel metrics.
- Deliver actionable insights that inform sales strategy, staffing, and process improvement.
- Lead, mentor, and grow a high-performing analytics team supporting customer support center and sales effectiveness.
- Uphold best practices in data quality, governance, and scalable reporting.
QUALIFICATIONS:
- Bachelor’s degree in Business, Economics, Data Science, or related field (MBA preferred).
- 10+ years of experience in analytics, sales strategy, or operations, with at least 4-5 years in a leadership role.
- Deep experience in customer support center analytics, including funnel optimization and agent performance tracking.
- Strong technical proficiency in SQL and Python, with experience analyzing large datasets and building models.
- Hands-on experience with Salesforce CRM and BI tools such as Tableau, Sigma, or Power BI.
- Background in financial services, consumer lending, debt resolution, or subscription-based sales strongly preferred.
- Excellent communication and executive presentation skills.
- Proven ability to drive measurable business results through analytics-led insights.
This opportunity is ideal for a strategic and technically skilled analytics leader who can bridge data and decision-making-transforming insights into improved sales performance across a large, consumer-facing organization.
To Apply for this Job Click Here
Senior NLP Engineer
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior NLP Engineer
New York, New York
$180,000-200,000 base salary + bonus + benefits
Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building out an LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level NLP Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business
YOUR SKILLS AND EXPERIENCE
The successful Senior NLP Engineer will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on building and deploying natural language and LLM models
- Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in financial services, investment or accounting a plus
- History of partnering with non-technical stakeholders required
- Experience as a player/coach or manager for AI teams preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $180,000-200,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture
To Apply for this Job Click Here
Business Intelligence Manager
San Antonio, CA
$135000 - $150000
+ Advanced Analytics & Marketing Insights
PermanentSan Antonio, Texas
To Apply for this Job Click Here
BUSINESS INTELLIGENCE MANAGER
SAN ANTONIO, TX – ONSITE
$135,000 – $150,000 BASE SALARY + BENEFITS
COMPANY:
This organization is building out its internal business intelligence capabilities to strengthen decision-making and operational performance across the company. With growing needs in operations and central analytics, they’re seeking a BI expert to establish a modern, scalable reporting environment and help teams across the business make smarter, data-driven decisions.
ROLE:
As the Business Intelligence Manager, you’ll be hands-on in setting up a self-service reporting environment, developing dashboards, and managing the data preparation processes that power them. This is an individual contributor role to start, with opportunities to flex into leadership as the BI function expands. You’ll lead key initiatives around data migration, digital transformation, and dashboard development while partnering with stakeholders to define KPIs and ensure data is clean, consistent, and actionable.
RESPONSIBILITIES:
- Build and maintain dashboards and reports using Power BI (preferred) or similar BI tools.
- Set up and scale self-service reporting environments for operational and analytics teams.
- Clean, transform, and prepare data to ensure smooth integration into dashboards.
- Lead or support migrations and digital transformation projects related to BI infrastructure.
- Partner cross-functionally with operations, finance, and central analytics teams to define and track KPIs.
- Communicate insights clearly and effectively-strong data storytelling is essential.
- Manage BI access, governance, and user provisioning in collaboration with IT and business stakeholders.
QUALIFICATIONS:
- 5+ years of experience in business intelligence or data analytics, ideally as a Senior or Lead BI Analyst.
- Proficiency in SQL and experience preparing and transforming data for BI reporting.
- Hands-on experience with Power BI Cloud (or Tableau, Looker, or similar tools).
- Proven success with implementing or scaling self-service reporting environments.
- Experience supporting or leading data migrations, system upgrades, or digital transformations.
- Excellent communication and stakeholder management skills; ability to translate data into insights.
- Financial services experience is a plus, but not required.
This role is ideal for a high-impact BI professional who thrives in a data-forward organization and is ready to take ownership of enterprise reporting from strategy through execution.
To Apply for this Job Click Here
Generative AI Analyst
New York
$50 - $80
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Generative AI Analyst
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a mission-driven organization leveraging Generative AI to transform how teams work, integrating AI tools to drive efficiency, innovation, and business outcomes.
Role – Generative AI Analyst
Location – Hybrid, New York City
Pay – $50.00-$80.00 per hour
Length – 3-6 months initial contract with possible conversion to full time
Utilization – 40 hr/week
Benefits – W2 employees are eligible for health, dental, vision, 401k benefits
As a Generative AI Analyst, you will be a key contributor to both AI adoption and AI application development initiatives. You will work across business and technical teams to implement Generative AI tools, craft optimized prompts, and help employees integrate AI into their daily workflows. You will also support proof-of-concept projects, internal AI solution design, and organization-wide enablement.
Key Responsibilities:
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Support rollout and adoption of Generative AI tools like ChatGPT, including onboarding and user engagement.
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Collaborate with business and technology teams to identify opportunities for AI solutions.
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Develop, refine, and optimize prompts to achieve business objectives.
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Conduct proof-of-concept experiments to test AI applications.
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Create training materials, guides, FAQs, and other content to support AI enablement.
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Partner with technical teams to migrate prompts and workflows into production systems.
Requirements:
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Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
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5+ years of experience in data science, software development, or a similar technical discipline.
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1+ year working with Generative AI tools or APIs (e.g., ChatGPT, GPT-4).
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Proficiency in Python and experience with Jupyter notebooks.
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Strong communication and presentation skills for translating technical concepts to non-technical audiences.
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Experience supporting technology rollouts, user training, or change management initiatives.
Preferred:
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Familiarity with LangChain, RAG, or LLM development frameworks.
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Experience developing internal AI applications or proof-of-concept projects.
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Knowledge of responsible and ethical AI practices.
This is an excellent opportunity for a technically skilled, business-savvy professional who wants to be at the forefront of Generative AI adoption and application, helping teams leverage cutting-edge AI tools to drive real-world impact.
To Apply for this Job Click Here
Senior CRM Analyst
Watford
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentWatford, Hertfordshire
To Apply for this Job Click Here
Senior CRM Analyst – Watford Junction (Hybrid, 3 days in office)
Up to £60,000 + 10% bonus
Permanent
We’re hiring a Senior CRM Analyst to join a growing Decisioning & Analytics team within a leading entertainment brand undergoing a major digital transformation. With one of the largest marketing spends in the UK, this is a chance to shape CRM strategy, work on exciting campaigns, and play a key role in personalisation and targeting.
What You’ll Do:
– Build and segment audiences for multi-channel campaigns (email, app, web, push, paid social, personalisation)
– Analyse campaign performance to measure impact, ROI, and engagement
– Develop dashboards and reports in Power BI to track KPIs and optimise performance
– Partner with operations teams to deliver end-to-end campaigns
– Contribute to automation and personalisation strategies
– Support new product launches and high-profile campaign streams
– Be part of CRM transformation projects, including new platforms and advanced analytics
Tech & Tools:
– SQL (core skill, essential)
– Salesforce Marketing Cloud (SFMC) – or similar CRM platforms
– Power BI for reporting and dashboards
What’s In It For You:
– Exposure to one of the UK’s biggest consumer brands
– Join during an exciting period of CRM innovation
– Work across multiple channels and campaign types
– Be part of a collaborative, growing analytics function (6-person team)
– Competitive salary + 10% bonus
Who We’re Looking For:
– 3-5+ years in CRM, marketing analytics, or decisioning roles
– Strong SQL skills (non-negotiable)
– Experience with Salesforce Marketing Cloud or another CRM platform
– Comfortable analysing campaigns and providing recommendations
– Background in consumer-facing industries (retail, FMCG, entertainment) a plus
Interested? Apply now with your CV or drop me a message to learn more.
To Apply for this Job Click Here
Senior Credit Risk Analyst
£35000 - £55000
+ Risk Analytics
PermanentLancashire
To Apply for this Job Click Here
SENIOR CREDIT RISK ANALYST
£55,000
LANCASHIRE
THE COMPANY
This company is a growing retail company that have a unique credit offering. They are seeking a Risk Analyst to join their diverse team and help to enhance their products and work on a range of projects including growing their credit book.
THE ROLE
This role will see you work on a number of projects and:
- Produce MI and broader reporting for senior stakeholders in the business and present broad sets of data
- Use credit risk models to tweak credit risk strategy and monitor customer trends
- Analyse data from across their credit portfolio to tell a story with this data and drive insight
- Work with the wider risk team to identify opportunities for commercial improvements and business opportunities
YOUR SKILLS AND EXPERIENCE
- Essential to have knowledge of SQL and prior experience using this
- Essential to have worked with large data sets and driven insight into this, ideally within financial services
- Strong communication skills and prior experience in communicating complex data
SALARY AND BENEFITS
- Base salary of up to £55,000
- Free on-site parking
- Pension contribution scheme
- On-site amenities
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York
$190000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York, New York
$190,000-210,000 base salary + bonus + benefits
Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business
YOUR SKILLS AND EXPERIENCE
The successful Senior Machine Learning Engineer will likely have the following skills and experience:
- 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
- Experience working in a fast-moving organization is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in financial services, investment or private equity a plus
- History of partnering with non-technical stakeholders required
- Experience as a player/coach or manager for AI teams preferred
- PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture
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Backend Engineer
Sheffield
£60000 - £65000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
Backend Engineer (Python/Django)
Hybrid (Sheffield) – £60,000
We are working with a high-growth fintech scale-up who are looking to bring on a Backend Engineer into their growing data team. They are innovating rapidly and looking for top engineering talent to support their next phase of growth.
As a Backend Engineer, you’ll play a key role in building and scaling the company’s core payment infrastructure.
Responsibilities
- Design, build, and maintain scalable backend services and APIs
- Write production-quality Python and Django code with a focus on performance and maintainability
- Work with the Django ORM at a deep level to ensure efficient data operations
- Collaborate in agile sprints with product and engineering teams
- Debug, diagnose, and resolve issues across the platform
- Contribute to backend infrastructure, deployment pipelines, and monitoring/logging
- Mentor junior engineers and promote best practices
Tech Stack
Essential:
- Python
- Django (ORM)
- Broader backend experience
- SQL expertise
- Familiarity with CI/CD and scalable systems
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