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 specialists 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) 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 organisations such as the Securities and Exchange Commission (SEC) and must pass the Financial Industry Regulatory Authority (FINRA) exams. The US undoubtedly has a big focus on consumer protection. Data Scientists and Analysts in the US BFSI sector may also work on areas such as Risk modelling, Fraud detection, and customer segmentation. In the US job market, certification is frequently used as a pathway to career progression and success. One such example is the highly regarded Chartered Financial Analyst (CFA) certification offered by the esteemed CFA Institute. By obtaining this certification, individuals may increase their likelihood of professional advancement and garner greater opportunities for achievement.
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, optimise 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!
INDUSTRY CANDIDATES
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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 visualisation tools like Tableau or Power BI. Familiarity with statistical techniques, data modelling, 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 analyse 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 what 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 organisations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organisations, Data Science has become an essential tool to analyse 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 modelling techniques to develop predictive models that help organisations 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 modelling techniques to identify potential risks and mitigate them before they become a problem. This helps organisations minimise losses and maintain financial stability.
Another benefit of Data Science in the BFSI sector is improved customer experience. By analysing customer data, organisations can understand their preferences and behaviour, and use this information to offer personalised products and services that meet their needs.
Data Science is imperative in the BFSI sector. By helping organisations 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, analysing, and visualising large amounts of data to provide insights that help BFSI organisations 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 organisations 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 modelling, Analytics, and visualisation 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 organisation. They play a critical role in helping BFSI organisations 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 organisations 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 organised, 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 organisation, 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 organisation's goals and objectives.
However, it's not just about crunching numbers and analysing 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 organisation. 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 organisations to make informed decisions in the face of uncertainty.
BFSI organisations 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 maximisation.
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 modelling, 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 organisational success. You will help identify potential risks and opportunities, guide decision-making, and keep organisations competitive in today's ever-changing business landscape. Expect the unexpected, analyse 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 behaviour, preferences, and needs. Armed with these invaluable insights, organisations 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 behaviour and preferences takes centre stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organisations 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 modelling, and a maestro in data visualisation. 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 organisations. Your prowess in unearthing customer behaviour, 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 Banking
DATA JOBS
Senior Risk Analyst
Solihull
£45000 - £57000
+ Advanced Analytics & Marketing Insights
PermanentSolihull, West Midlands
To Apply for this Job Click Here
Senior Risk Analyst
Solihull – Hybrid 3 days per week
The Company
They are a well established financial services organisation operating in the consumer lending space. With a strong analytical culture, they place data at the centre of decision making across products and partnerships. The business is investing heavily in advanced analytics and credit risk capability to support sustainable growth.
The Role
You will sit within the personal finance credit risk team, working closely with models, strategy and analytics specialists. Your focus will be on supporting credit strategy for a key partner product, using data and models to optimise performance.
Key responsibilities include:
- Supporting credit risk strategy for a partner finance product, analysing what impacts sales and how to maximise performance within risk appetite.
- Developing, enhancing or monitoring credit risk models, including PD and scorecard based approaches.
- Delivering analysis to inform decisions across acquisition, pricing and customer management.
- Working with stakeholders across risk, analytics and the wider business to translate insight into action.
Your Skills and Experience
- Strong background in credit risk analytics within lending, banking or fintech environments.
- Experience with scorecard development, decision science models or broader credit risk modelling.
- Commercial exposure to areas such as pricing, customer segmentation or portfolio strategy.
- Hands on experience using SQL and either Python or SAS, with a willingness to develop further technical skills if needed.
- Ability to turn complex analysis into clear insight that supports business decisions.
What They Offer
- Competitive salary and benefits package.
- Hybrid working with three days per week in the Birmingham office.
- Opportunity to work on a high profile product with visible impact on strategy and performance.
- A collaborative, analytical environment with scope to develop deeper modelling or strategy expertise.
How to Apply
If you are a credit risk analyst looking to step into a senior role with strong strategic and modelling exposure, apply now to learn more about this opportunity.
To Apply for this Job Click Here
Fraud Analytics Manager
London
£86000 - £98000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Fraud Analytics Manager
Salary
£86,000-£98,000
Location + work pattern
London | Hybrid working (3 days per week in the office
THE COMPANY
- A well-established FinTech with a strong international footprint, operating across payments and consumer financial services.
- The UK entity has recently expanded its regulated offering, moving beyond a single product focus into broader account-based and cashback services.
- The business is investing heavily in fraud prevention as part of this next phase of growth.
THE ROLE
This is a senior individual contributor role within a partner and merchant fraud function, focused on identifying, analysing and reducing fraud risk across complex payment flows. You will act as an accountable lead, owning problems end to end and driving improvements across detection, strategy and operations.
Specifically, you can expect to be involved in:
- Analysing fraud patterns and trends to identify emerging risks and exposures.
- Defining and improving fraud detection frameworks, rules and controls.
- Advising on fraud strategy, automation opportunities and operational priorities.
- Partnering closely with product, operations, engineering and strategy teams.
- Using SQL to extract and analyse data to support investigations and decision-making.
YOUR SKILLS AND EXPERIENCE
- Strong subject matter expertise in fraud, ideally within payments, marketplaces or financial services.
- Experience managing complex fraud investigations from identification through to resolution.
- Proven ability to define fraud guidelines, strategies and operational routines.
- Comfortable working autonomously, taking ownership of ambiguous, project-based problems.
- Working knowledge of SQL for data extraction and analysis.
THE BENEFITS
- Opportunity to work within a highly self-sufficient, cross-functional team.
- Exposure to end-to-end delivery, from strategy through to execution.
- A role with genuine ownership and influence over fraud frameworks and controls.
- Hybrid working and a competitive salary package.
THE PROCESS
- Online abstract reasoning assessment.
- Take-home assignment followed by a technical interview discussing the approach and outcomes.
- Behavioural interview focused on competencies.
- Final short cultural fit conversation.
- Offer
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Business Intelligence Analyst
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
BUSINESS INTELLIGENCE ANALYST
LONDON/HYBRID
UP TO £60,000
This is a chance to step into a high impact Business Intelligence Analyst role where your work directly shapes how data is used across a complex, regulated organisation. You will partner closely with senior stakeholders, influence reporting standards, and play a key role in the evolution of a modern BI estate as the business moves towards a cloud based architecture.
ROLES AND RESPONSIBILITIES:
The Business Intelligence Analyst will:
- Lead scoping sessions with business stakeholders to define reporting and insight requirements
- Design and delivering dashboards and reports using Power BI
- Translate complex business needs into practical BI solutions
- Work closely with data engineering and architecture colleagues to ensure robust data models
- Support and maintain existing reporting solutions while embedding best practice
- Manage ongoing stakeholder relationships and responding to ad hoc analysis requests
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience in business intelligence and reporting
- Advanced SQL capability and hands on Power BI experience, including DAX
- Experience working within a collaborative BI or data team environment
- Confidence engaging with stakeholders at varying levels of technical understanding
- Exposure to financial services or another regulated industry is beneficial but not essential
- A degree level education demonstrating analytical and problem solving capability
APPLY BELOW!
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Data and Reporting Analyst
London
£65000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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DATA AND REPORTING ANALYST
LONDON/HYBRID
UP TO £70,000
This is a high impact analytics role within a growing UK fintech, offering the chance to work close to senior stakeholders and influence how the business understands and funds its lending portfolio. You will sit at the heart of finance, combining hands on SQL analysis with commercial insight to support funding, performance and strategic decision making.
ROLES AND RESPONSIBILITIES:
The Data and Reporting Analyst will:
- Analyse and report on core financial data, including lending performance, funding activity and investor reporting.
- Support activity such as asset sales and securitisations through detailed analysis and clear reporting.
- Build, maintain and enhance a scalable reporting suite used by finance and senior stakeholders.
- Deliver ad hoc analysis to help the business understand performance, risk and opportunities.
- Work closely with teams across the business to explain results and translate complex data into clear insights.
- Contribute to finance wide initiatives, including audits and due diligence activity.
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience
- Strong commercial experience analysing financial data within financial services, fintech or lending environments.
- Advanced SQL skills and confidence working with large, complex datasets.
- Proven experience producing reporting and analysis that supports decision making.
- Comfort communicating insights to non technical stakeholders, including senior leaders.
- Exposure to funding, capital markets or securitisation is advantageous but not essential.
- Experience with BI tools and dashboards is beneficial; Python is a nice to have rather than a requirement.
APPLY BELOW!
To Apply for this Job Click Here
Financial Data Reporting Analyst
London
£60000 - £75000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Data and Reporting Analyst
London
£65,000 to £70,000
This is an opportunity to join a high-performing finance function at a fast-scaling UK fintech where data sits at the heart of commercial decision-making. You will work closely with senior stakeholders on business-critical reporting and analysis, gaining exposure to complex funding structures and the full lifecycle of consumer lending. The role offers genuine scope to influence how financial data is used across the organisation and to progress as the business continues to grow.
The Company
They are an established and rapidly growing financial services business operating in the consumer lending space. With a strong market presence and ambitious growth plans, they combine a data-led approach with a collaborative, people-focused culture. The organisation is well-funded, commercially sophisticated, and known for giving teams ownership and visibility across the business. Their scale means you get variety and impact, without losing the agility of a smaller environment.
The Role
- Analyse and report on financial data relating to funding, asset performance, and transactions such as sales and securitisations.
- Build, maintain, and improve a robust reporting suite to support senior leadership and cross-functional teams.
- Deliver ad hoc analysis to answer commercial and strategic questions across the business.
- Use SQL extensively to extract, transform, and analyse data from core financial systems.
- Partner with stakeholders across finance and the wider business to clearly communicate insights and performance drivers.
Your Skills and Experience
- Strong commercial experience within financial services, ideally in lending, fintech, or banking environments.
- Advanced SQL skills with the ability to work confidently with large, complex datasets.
- Proven experience in financial reporting and data analysis that supports decision-making.
- Confidence communicating insights to non-technical stakeholders, including senior leaders.
- Exposure to funding structures, capital markets, or securitisation is advantageous but not essential.
- Experience with BI tools and data visualisation is beneficial, with QuickSight considered a plus.
- Python experience is welcome but not required.
What They Offer
- Hybrid working with three days per week in their London office near Waterloo.
- Bonus, pension and private medical
- A clear pathway for progression within a growing finance and data function.
- The chance to work on high-impact projects with strong visibility at leadership level.
- A supportive, inclusive culture that values curiosity, ownership, and development.
To Apply for this Job Click Here
Fraud Analytics Manager
London
£86000 - £98000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Merchant Fraud Analytics Manager
London 3 days pw
£80-100,000
The Company
They are a global fintech business expanding their UK presence. The organisation is data driven, fast paced, and built around cross‑functional teams that deliver solutions collaboratively. They offer strong autonomy and the chance to influence fraud strategy during a key growth phase.
The Role
* Analyse merchant fraud patterns and emerging risks.
* Enhance fraud frameworks, detection methods, and decisioning.
* Lead complex investigations and define risk standards.
* Partner with operations, product, and strategy teams to embed controls.
* Use SQL to extract insights and support recommendations.
Your Skills and Experience
* Strong expertise in fraud, financial crime, or merchant risk.
* Ability to design fraud frameworks and operational guidelines.
* Confidence working independently and driving projects.
* SQL skills for data extraction and analysis.
* Background in payments, fintech, PSPs, or marketplaces is ideal.
What They Offer
* Competitive base salary of 86-100k depending on experience
* 3 days in office
* Private medical care
How to Apply
To apply for this Merchant Fraud Analytics Manager role, please submit your CV.
To Apply for this Job Click Here
Senior Credit Risk Analyst
London
£55000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Credit Risk Analyst
Salary
£55-£70k
Location + work pattern
London | Hybrid working (Ususally Tuesday-Thursday in the office)
THE COMPANY
- A fast paced, highly data‑driven FinTech operating across multiple consumer lending products.
- Established player with a strong market reputation, long‑term profitability, and continued international expansion.
- Known for combining commercial thinking with advanced analytics to drive growth.
THE ROLE
This is a broad, commercially focused credit risk role sitting within a core UK product area that is performing strongly. You’ll work on a wide range of analytical and strategic projects, partnering closely with senior stakeholders.
Specifically, you can expect to be involved in:
- Developing and optimising credit and lending strategies across the customer lifecycle, with a focus on acquisition.
- Building and refining NPV and pricing models to support commercial decision making.
- Implementing analytical outputs into live credit strategies and policies.
- Delivering wider analysis on customer behaviour, portfolio performance, product growth, and emerging trends.
YOUR SKILLS AND EXPERIENCE
- Strong academic background with a solid grounding in quantitative analysis (Russell Group University with a STEM degree is required)
- Experience within a data‑led environment such as FinTech, InsurTech, or another analytically rigorous consumer business.
- Exposure to developing lending strategies or providing insight that informs business or credit decisions.
- Strong SQL capability; experience using Python is advantageous.
- Typically 1-2+ years’ relevant experience, with evidence of progression or increased responsibility.
THE BENEFITS
- Competitive base salary within the £55-£70k range.
- Attractive long‑term incentive through share options.
- Hybrid working model with a collaborative London office environment.
- Opportunity to work in a high‑growth, product focused FinTech with strong career development.
THE PROCESS
- Online analytical case study focusing on numerical and problem solving skills.
- On‑site interview including a business case discussion and technical/competency assessment.
- Final office visit with senior stakeholders and the wider team.
- Offer!
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Savings Product Analyst
£35000 - £40000
+ Risk Analytics
PermanentSouth East England
To Apply for this Job Click Here
Savings Product Analyst
South East England
£40,000
This is a newly created opportunity for a commercially minded analyst to play a key role in shaping savings products within a growing, customer focused financial services business. You will work closely with senior stakeholders, influence pricing and proposition decisions, and gain broad exposure across product, treasury and marketing in a fast moving
environment.
The Company
They are a specialist UK financial services provider operating within the lending market. With a strong focus on innovation and customer outcomes, they combine fintech thinking with a regulated banking environment. The business is continuing to grow its offerings and is investing in data driven decision making across product and pricing. Collaboration and accountability sit at the heart of how they work.
The Role
- Support the day to day commercial management of savings products
- Develop pricing proposals informed by performance data, market insight and competitor analysis
- Produce high quality management information and insight to support decision making
- Contribute to product governance activity within a regulated environment
- Support the development and launch of new savings propositions
- Work closely with teams across treasury, operations, marketing and external partners to drive performance
Your Skills and Experience
- Strong commercial and analytical experience within financial services/a similar industry
- Confidence turning data into clear, actionable insight
- Experience using data and reporting tools, ideally Power BI, alongside strong Microsoft Office skills
- Experience in financial services and with Savings is desirable
- Quantitative academic background in a subject such as mathematics, finance or economics
- Clear communication skills and the ability to work effectively with a range of stakeholders
What They Offer
- Competitive salary with annual performance related bonus
- Hybrid working with a minimum of three days per week in the office
- Generous pension, life assurance and private healthcare
- 25 days annual leave plus bank holidays, with the option to buy or sell additional days
- Volunteering day, wellbeing support and additional lifestyle benefits
- Clear opportunity to develop within a growing savings and product function
To Apply for this Job Click Here
Staff Applied Scientist
Palo Alto
$450000 - $550000
+ Data Science & AI
PermanentPalo Alto, California
To Apply for this Job Click Here
Staff Applied Scientist – LLM Suite | Investment Banking | Onsite in Palo Alto, CA
~$450-550k TC including base salary, bonus, and equity grant
Our client, a top-tier global investment bank, is expanding its enterprise AI platform and is looking for a Staff Applied Scientist to join their LLM Suite team. This is a production-focused role where the candidate will be building AI systems actively used by 200,000+ employees worldwide.
This person will own the development of text-to-code pipelines, agentic workflows, database interaction layers, and intelligent chatbots across one of the most complex financial institutions in the world.
Responsibilities
- Designing and deploying LLM-powered features including text-to-code, workflow automation, and AI agent frameworks
- Building and integrating multimodal LLM systems via API-based architectures
- Developing scalable, distributed, and multi-threaded applications using frameworks like Ray, Horovod, and DeepSpeed
- Owning full end-to-end software development cycles from prototyping through production deployment
- Architecting and managing containerized infrastructure using Kubernetes and AWS Fargate
- Building database interaction layers and backend services that support enterprise-scale AI products
- Collaborating cross-functionally with engineering, product, and business teams to translate complex requirements into working systems
Requirements
- PhD in Computer Science, Machine Learning, Applied Mathematics, or a related technical field (required)
- Deep hands-on experience with LLM integrations, both API-based and fine-tuning workflows
- Proven experience with multimodal LLMs and cutting-edge foundation models
- Strong background in distributed systems and scalable application design using Ray, Horovod, DeepSpeed, or equivalent
- Production experience with AWS, Kubernetes, and Fargate
- End-to-end software engineering experience, including design, development, testing, and deployment
- Experience building chatbots, agentic systems, or AI-assisted developer tooling is a strong plus
To Apply for this Job Click Here
Fraud Data Analyst
London
£50000 - £70000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
Card Fraud Analyst
Mostly remote, once per month in London
£50,000 to £70,000
This role offers the chance to play a key part in shaping card fraud strategy within a well established financial services organisation. You will work in a highly visible analytics function where your insights directly influence fraud prevention, customer experience, and loss reduction.
The Company
They are a long standing financial services organisation with a strong presence in retail and commercial banking. The business is profitable, growing, and continuing to invest in fraud and financial crime capability. Fraud analytics is a core focus area, with clear support for innovation and improvement. The environment is collaborative and data driven.
The Role
You will sit within the card fraud analytics team, focusing on monitoring, optimising, and improving fraud strategies.
Key responsibilities include:
* Analysing card transaction data to identify fraud trends and emerging risks
* Optimising card fraud rules and strategies to reduce losses
* Producing reporting and insight to support day to day fraud decisions
* Working closely with fraud operations to improve outcomes and customer impact
* Supporting automation and advanced analytics initiatives within the team
Your Skills & Experience
* Strong commercial experience in card fraud analytics
* Hands on knowledge of Falcon or closely related fraud platforms such as SAS Fraud Management
* Proven ability to optimise card fraud strategies using data and insight
* Strong SQL skills for analysis and reporting
* Python experience is beneficial but not essential
What They Offer
* Salary between £50,000 and £70,000 depending on experience
* Hybrid working with limited required time in the London office
* A permanent role with clear ownership and visibility
* Opportunity to influence fraud strategy and analytics direction
To Apply for this Job Click Here
VP AI Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco
A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.
Mission
- Design and deploy agentic AI systems to automate and optimise large-scale production environments
- Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
- Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
- Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
- Integrate AI agents with observability, incident management, deployment, and runtime platforms
- Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
- Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming
Profile
- Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
- 7+ years of experience in applied ML, data science, or software engineering in production environments
- Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
- Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
- Experience building secure, explainable, and reliable AI systems with strong governance and auditability
- Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes
To Apply for this Job Click Here
Pricing Analyst
London
£50000 - £60000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Pricing Analyst
Salary
£50,000 – £60,000 + benefits
Location + work pattern
London | Hybrid working with flexible office attendance
THE COMPANY
- A specialist consumer car finance provider operating in the UK market.
- Known for its data-led approach to lending and pricing within a regulated environment.
- The business has grown steadily since launch and continues to invest heavily in analytics capability.
THE ROLE
This role sits within the pricing and profitability function, supporting commercial decision-making across consumer lending products. You will work closely with teams across finance, credit risk, and commercial functions to analyse performance and shape pricing strategy.
Specifically, you can expect to be involved in:
- Supporting pricing strategy, including analysis of APRs and rate structures.
- Building and maintaining unit economics and profitability models.
- Analysing commission structures and dealer performance.
- Partnering with stakeholders to translate data into clear commercial insights.
- Contributing to pricing and performance projects alongside more senior analysts.
YOUR SKILLS AND EXPERIENCE
- 1-3 years’ experience in a pricing, analytics, or related role within financial services.
- Strong analytical capability with the ability to interpret complex datasets.
- Experience using Python (or similar analytical tools such as SAS or R).
- Ability to communicate insights clearly to both technical and non-technical audiences.
- Commercial mindset with an interest in how pricing impacts performance.
- Comfortable working in a collaborative team environment and supporting junior colleagues.
THE BENEFITS
- Salary between £50,000 and £60,000.
- Hybrid and flexible working arrangements.
- Exposure to a broad range of pricing and commercial projects.
- Opportunity to work in a growing analytics team with clear development pathways.
- Supportive culture with close collaboration across functions.
THE PROCESS
- Online numerical assessment.
- Initial interview focused on experience, competencies, and motivations.
- Final in-office interview including a technical discussion and business case exercise.
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
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