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
Lead Data Scientist
London
£140000 - £150000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Data Scientist
London
Private Equity
£140,000 – £150,000 + benefits
Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering.
The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space.
They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue.
In this role you will lead the technical teams that deliver value.
The Role – Lead Data Scientist
You will be:
- Working on multiple engagements within portfolio companies across various different industry sectors
- Delivering key Data Science / AI initiatives that drive value for customers.
- Shaping how projects are delivered, driving performance and working closely with C-level execs.
- Providing technical leadership across the business, with a focus on end-to-end machine learning solutions.
Experience – Lead Data Scientist
You will have:
- An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc.
- Experience using Python is a must
- Knowledge of cloud technologies important (agnostic)
- A strong knowledge of statistical/machine learning models applied to real-world problems
- A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important
- A focus on using data science to create value is essential
- A strong interest in working across a variety of different industry sectors and problem areas.
BENEFITS
Up to £150,000 base salary
Competitive bonus
The opportunity to join a world-class and growing team
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.
KEYWORDS
Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.
To Apply for this Job Click Here
Senior Software Engineer
London
£80000 - £90000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Role: Full Stack Engineer
Salary: £80,000-£90,000 + Equity
WFH: Fully Remote
Overview
Our client is a fast-growing RegTech startup using AI to transform how financial institutions approach AML and compliance workflows. They’re hiring Full Stack Engineers to join a compact, fast-moving team working on two flagship products-an intelligent API for AML decision-making and an AI-driven report generation platform simulating the work of a financial crime analyst.
The company is venture-backed, with an active client base across fintechs and ambitions to break into large-scale enterprise. This is a unique opportunity to have end-to-end impact-designing, building, and deploying features in an environment where engineering best practices are respected and expected.
Key Responsibilities
- Design and build scalable backend and frontend components for core products
- Help establish technical standards, best practices, and delivery processes across the engineering team
- Drive feature development from concept to deployment, working autonomously or in small teams
- Collaborate with engineering leadership on technical direction and architectural decisions
- Work on complex problems involving data aggregation, report generation, and AI agent integration
- Contribute to product evolution based on customer feedback and internal roadmap
Ideal Candidate
- 5-10 years’ experience delivering production software in fast-paced environments
- Comfortable working across backend and frontend (slight backend lean preferred)
- Strong ownership mindset-able to ship features independently (build + deploy)
- Experience managing multiple workstreams in low-management settings
- Product-focused engineer who thrives in flat, startup-style team structures
- Good grasp of engineering best practices, code quality, and system design
Tech Stack
- Python
- JavaScript / TypeScript
- SQL
- AWS (Cloud Infrastructure)
Interview Process
- Technical Discussion (30-60 mins)
- Collaborative Co-working Session (60-90 mins) – Solve a real-world problem together via screen share
Both stages are conducted remotely.
Additional Details
- Urgent hire
- Equity included
- Sponsorship not available at this time
To Apply for this Job Click Here
Director of Fraud Analytics
City of London
£110000 - £130000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Director of Fraud Analytics
Up to £130,000
London
Hybrid
The Company
This is an exciting opportunity to join a leading global business and drive its fraud strategy and analytics function. You’ll take charge of a high-performing fraud team, expand the function worldwide, on-board new vendors, and shape the company’s long-term fraud prevention road-map.
The Role
As a Director of Fraud Analytics, you will be:
- Leading the fraud strategy and fraud analytics function for the global business
- Build out strategies and controls for fraud, financial crime, and spams
- Leading a team to develop fraud prevention models and strategies
- Setting out the fraud prevention roadmap in the short and long term
- Using SQL and Python daily for analysis and fraud rule development
- Managing, hiring, and building out the fraud function on top of an existing strong team
Your skills and experience
To be successful as a Director of Fraud Analytics, you will need:
- Experience managing a Fraud Analytics team
- Strong experience developing Fraud strategies for Payments Fraud
- Strong working experience coding in SQL and Python
- Experience working for a payment business and/or fintech
- STEM Degree from a top university
Salary + Benefits
Up to £130,000 + Bonus + Equity
To Apply for this Job Click Here
Machine Learning Engineer
London
£100000 - £150000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Machine Learning Engineer
London
£100,000-£150,000
An elite, high-growth investment firm with a global presence is looking to expand its Machine Learning team in London. With backing from major institutional capital and a strong track record in global macro strategies, the firm is scaling its data and AI capabilities to support ambitious growth plans.
This is a rare opportunity to take full ownership of the ML lifecycle in a highly selective, performance-driven environment. You’ll be joining a lean, technically advanced team working on some of the most complex forecasting and signal generation challenges in finance.
What You’ll Do:
- Design and implement end-to-end ML workflows: data ingestion, model development, and deployment
- Automate and optimize large-scale data pipelines
- Develop forecasting and signal processing models tailored to macroeconomic data
- Collaborate closely with investment professionals and data scientists
- Contribute to the build-out of scalable ML infrastructure
What We’re Looking For:
- Proven commercial experience doing hands-on ML, ideally in a fast-paced or startup environment
- Proven track record working across the full ML lifecycle
- Strong coding and data engineering skills
- Background in finance, trading, or macroeconomic forecasting is essential
- Experience deploying models into production environments
Why Join:
- Exceptional autonomy and impact in a high-performing, well-capitalised firm
- Exposure to cutting-edge macro trading strategies and unique data sets
- Collaborative, entrepreneurial culture with a strong technical foundation
- Significant growth potential as the firm continues to scale globally
This role is ideal for someone looking to apply their ML skills in a high-stakes, high-reward environment, where your work will directly influence investment decisions.
To Apply for this Job Click Here
MANAGER DIGITAL ANALYTICS
Lille
€50000 - €60000
+ Digital Analytics
PermanentLille, Hauts-de-France
To Apply for this Job Click Here
MANAGER DIGITAL ANALYTICS
LILLE (59)
50-60K EUR
Cette acteur majeure du ecommerce en pleine croissance recherche son manager Digital Analytics.
VOTRE ROLE
- Définir et piloter la stratégie Digital Analytics pour optimiser parcours, performance et personnalisation.
- Suivre et améliorer la performance de l’application mobile (rétention, engagement, dashboards).
- Garantir la qualité, la fiabilité et la conformité des données web et mobile (RGPD, sécurité).
- Encadrer et développer une équipe de 2 à 5 experts, en diffusant la culture data-driven.
- Contribuer aux projets digitaux et à l’évolution de la stack analytics (outils, tracking, dashboards).
VOTRE PROFIL
- Formation Bac +5 (école d’ingénieur, commerce ou université) avec spécialisation data, digital ou marketing analytique.
- 8 à 10 ans d’expérience en Digital Analytics, incluant web et mobile, idéalement en e-commerce ou retail.
- Expertise dans le pilotage de la performance des applications mobiles (tracking, rétention, optimisation des parcours).
- Maîtrise des outils Digital Analytics (Appsflyer, Piano Analytics, Act Commander) et des outils de visualisation (Power BI ou équivalent).
- Connaissances en SQL, Python et environnements cloud.
- Expérience confirmée en management d’équipe et en gestion de projets analytics transverses.
To Apply for this Job Click Here
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
To Apply for this Job Click Here
CRM Marketing Executive
Solihull
£30000 - £38000
+ Digital Analytics
PermanentSolihull, West Midlands
To Apply for this Job Click Here
CRM Marketing Executive – Financial Services
Location: Midlands (2 days per week in office, Solihull area)
Salary: £38,000 (perm)
The Company
We’re partnered with a well-established UK financial services organisation undergoing a modernisation of its marketing and customer engagement capability. Following a recent restructure creating channel specialisms, the team is building out a new CRM function to accelerate personalised, data-driven communications across multiple brands-including a recently launched savings app. You’ll join a small, agile team with the mandate to scale campaigns, automate journeys and drive measurable uplift in retention and product adoption.
The Role
This is a hands-on execution role working alongside an experienced CRM Manager. You’ll build and optimise customer journeys, launch and iterate campaigns, and help the team get more value from its marketing automation platform (Adobe Journey Optimizer or similar). If you enjoy owning the details-lists, segments, workflows, QA, reporting-while seeing tangible impact on customer outcomes, this is for you.
Key Responsibilities
* Build, launch and QA CRM campaigns across email/in-app/push within the journey tool.
* Create and optimise multi-step customer journeys (onboarding, nurture, cross-sell, win-back).
* Support segmentation and audience builds; maintain lists, suppressions and data hygiene.
* Partner with the CRM Manager on briefs, calendars, test plans and channel best practice.
* Run A/B and multivariate tests (subject, content, timing, cadence); document learnings.
* Track performance in platform dashboards; report on KPIs (opens, CTR, CVR, churn, ROI) and next actions.
* Contribute to a growing library of templates, components and re-usable automations.
* Collaborate with Design, Product, Data and Compliance to ship campaigns safely and on time.
* Help scale from ~a handful of existing automations to a robust journey portfolio.
What You’ll Bring
* 1-2+ years’ hands-on CRM/Email/Lifecycle experience (campaigns & journeys) in any sector.
* Practical knowledge of a major platform: Adobe Journey Optimizer/Adobe Campaign, Salesforce Marketing Cloud, HubSpot, Braze, Iterable, Klaviyo or similar.
* Comfortable building workflows, audiences and triggers; strong attention to detail and QA.
* Basic grasp of segmentation and performance metrics; confident turning data into next steps.
* Working knowledge of Power BI/Looker/Tableau or platform analytics is a plus (not essential).
* Nice to have: push/in-app experience, basic HTML for email, and/or familiarity with SQL.
* Mindset: proactive, organised, and happy operating in a lean two-person team.
Why Apply
* Impact: immediate ownership in a small, specialist team where your work is visible.
* Growth: scale a new function, expand a campaign suite and shape ways of working.
* Variety: mix of BAU comms and greenfield journeys for a new consumer app.
* Support: clear feedback SLAs and a manager focused on strategy who’ll unblock delivery.
* Flexibility: hybrid model with 2 office days per week in the Solihull area.
Working Pattern
Full-time, Monday-Friday. Hybrid: minimum two days per week in the Solihull office (fixed team days).
How to Apply
Interested? Send your CV to Mohammed Buhariwala (Harnham) via the Apply link on this page and include a brief note on your recent CRM platform experience and the most complex journey you’ve built.
Keywords
CRM Marketing Executive, CRM Specialist, Email Marketing, Lifecycle Marketing, Retention, Marketing Automation, Customer Journeys, Workflows, Segmentation, Adobe Journey Optimizer, Salesforce Marketing Cloud, HubSpot, Braze, Power BI, SQL, Midlands, Solihull, UK Jobs
To Apply for this Job Click Here
Backend Engineer – Django
Sheffield
£55000 - £60000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
MID-LEVEL BACKEND ENGINEER
UP TO £60,000
HYBRID -Sheffield
Want to play a pivotal role in building scalable backend systems for a fast-scaling fintech, while being the first UK Backend hire in a growing team?
THE COMPANY:
I’m working with a rapidly scaling fintech operating across the UK and international markets. They provide innovative finance solutions that make essential services more affordable for consumers. The business has seen huge growth over the past few years, with an established engineering function overseas and now a strong focus on building resilience and scale in the UK. This role is the first UK-based Backend Engineer, with plans to expand further.
THE ROLE:
You’ll join a collaborative engineering team working across both the UK and international offices, building consumer-facing applications and mission-critical payment infrastructure. Projects span payment orchestration, platform integrations, product scaling, and new AI-driven features.
Key responsibilities include:
- Designing, building and maintaining backend services & APIs
- Writing production-quality Python/Django code (with strong Django ORM focus)
- Building and maintaining payments infrastructure
- Diagnosing, debugging and optimising system performance
- Supporting deployment pipelines, monitoring and logging
- Mentoring junior engineers where relevant
- Collaborating with cross-functional product and engineering teams
YOUR SKILLS AND EXPERIENCE:
A successful Backend Engineer will bring:
- Strong expertise with Python & Django (ORM essential)
- Experience in fintech, automation, or payments (preferred)
- Background in startups/scale-ups
- Solid grasp of Computer Science fundamentals (algorithms, data structures, systems)
THE BENEFITS:
You’ll receive a salary of up to £60,000 depending on experience, plus a competitive benefits package and the opportunity to lead a core business function.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Lead Credit Risk Analyst – (Scorecards)
Leeds
£45000 - £55000
+ Risk Analytics
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Lead Credit Risk Analyst – (Scorecards)
Up to £55,000
Hybrid
Leeds
The Company
I am hiring a Lead Credit Risk Analyst for one of the biggest UK banks focused on providing unsecured and secured lending to their customers. In this role you will leading the scorecard modelling credit cards and loans using SAS and SQL daily in the role.
The Role
As a Lead Credit Risk Analyst, you will be:
- Developing credit risk application and behavioural scorecard models
- Using analytics skills to improve credit risk strategies
- Monitoring the performance or the scorecard and the portfolio performance.
- Working with and presenting to senior stakeholders daily within the role.
- Using SAS to develop credit risk models daily.
Your skills and experience:
To be successful as a Lead Credit Risk Analyst, you will need:
- Strong experience developing credit risk scorecards
- Experience as a credit risk using SAS or SQL daily for scorecard development
- Experience working in unsecured lending portfolios
- Experience working for a bank or in financial services
- Excellent communication skills
Benefits
Up to £55,000 + benefits package
To Apply for this Job Click Here
Collections Strategy Analyst
Leicester
£38000 - £42000
+ Risk Analytics
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Collections Strategy Analyst
Up to £42,000
Hybrid
Leicester
About the Company:
I am hiring a Collections Strategy Analyst for a leading lending business based in Leicester. Within this role, you will be developing strategies for collections, to support the increase of profitability for the portfolio using tools like SAS and SQL daily.
About the Role:
As a Collections Strategy Analyst, you will be:
- Driving insight for credit risk strategy using SAS and SQL for collections
- Detecting new trends on customer data to help increase business revenue
- Analysing both internal and external data to make strategic changes impacting growth and revenue
- Developing credit risk strategies across the collection and arrears
- Using SQL and SAS daily for strategy development
Responsibilities:
To be successful as a Collections Strategy Analyst, you will need:
- Experience as a credit risk strategy analyst
- Experience working with unsecured credit portfolios
- Ideally experience working on Credit Cards
- Experience developing credit risk strategies for collections
- Experience working with SQL and/or SAS
- STEM Degree from a top university
Benefits
Up to £42,000 + Benefits
To Apply for this Job Click Here
Senior Credit Pricing Analyst
City of London
£65000 - £75000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Senior Credit Pricing Analyst
Up to £75,000
Hybrid
London
The Company
I am hiring a Senior Credit Pricing Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit risk pricing and NPV modelling experience to focus on driving business growth and profitability using tools like SQL and Python alongside your credit commercial background for the credit cards portfolio.
The Role
As a Senior Credit Pricing Analyst, you will be:
- Developing new insights to drive optimisation of credit risk strategies.
- Developing NPV models for Credit risk acquisitions strategies
- Developing credit risk strategies for Acquisitions and pricing
- Working with senior leadership to implement/improve credit strategy.
- Using SQL and Python daily for strategy development
Your skills and experience
To be successful as a Senior Credit Pricing Analyst, you will need:
- Experience as a credit risk strategy analyst
- Experience developing pricing and NPV models
- Experience working in a fast-paced environment/fintech
- Experience developing credit risk strategies for Acquisitions and/or Existing Customer for consumer lending
- Experience working with SQL and Python
- STEM Degree from a top university
Benefits
Up to £75,000 + Benefits
To Apply for this Job Click Here
Senior Credit Strategy Analyst
City of London
£70000 - £80000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Senior Credit Strategy Analyst
Up to £80,000
Hybrid
London
The Company
I am hiring a Senior Credit Strategy Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit risk strategy experience to focus on driving business growth and profitability using tools like SQL and Python alongside your credit commercial background
The Role
As a Senior Credit Strategy Analyst, you will be:
- Developing new insights to drive optimisation of credit risk strategies.
- Detecting new trends on customer data to develop wider business strategies
- Developing credit risk strategies for Acquisitions and Existing Customers.
- Working with senior leadership to implement/improve strategy.
- Using SQL and Python daily for strategy development
Your skills and experience
To be successful as a Senior Credit Strategy Analyst, you will need:
- Experience as a credit risk strategy analyst
- Experience working in a fast-paced environment
- Experience developing credit risk strategies for Acquisitions and/or Existing Customer
- Experience working with SQL and Python
- STEM Degree from a top university
Benefits
Up to £80,000 + Benefits
To Apply for this Job Click Here
Industry Hub
HARNHAM
News & Blog
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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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