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
Director of Analytics & Data Engineering
San Francisco
$250000 - $280000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Director of Analytics and Data Engineering
Location: Remote, US based
Salary: $250-280k Base Salary
We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Director of Analytics and Data Engineering. This leader will own the company wide data strategy, data ecosystem, and data organization.
If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.
The Opportunity
You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.
You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.
What You Will Lead
- Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
- Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
- Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
- Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
- Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
- Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
- Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
- Data activation through dashboards, workflow automation, internal data apps, and decision support tools
What You Bring
- 10+years in data with at least 3 in senior leadership
- Experience in high growth fintech, payments, or regulated financial services
- Proven ability to build and scale enterprise data ecosystems
- Expertise in data governance, quality, and regulatory compliance including AML and KYC
- Strong leadership and communication skills
- Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
- Strong SQL and familiarity with Python
- Experience with AWS data services and infrastructure as code
- Bonus: crypto, gaming, or internal tooling experience
Why This Role
Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.
To Apply for this Job Click Here
Data Analyst
London
£40000 - £45000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Analyst
London
Up to £45,000 plus bonus and benefits
Hybrid working, three days onsite
The Company
A high growth consumer finance scale up going through significant expansion. Data sits at the centre of the business and this role offers real breadth across credit, commercial and pricing. Small team, great culture and strong progression for someone who wants variety and ownership.
The Role
You will join the commercial data function, supporting stakeholders across the full lending lifecycle. This is a varied analyst role with a mix of short term tasks and longer term projects where you will shape insight that feeds directly into performance, customer outcomes and partner relationships.
You will be responsible for:
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Designing dashboards and reporting for stakeholders, enabling true self serve analytics
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Delivering analysis across credit, pricing and commercial teams
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Investigating changes in customer volumes, credit profiles and partner performance
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Benchmarking introducers and presenting insights back to internal teams and partners
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Working with messy and duplicated data and applying strong logic and dedupe approaches
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Supporting the build and maintenance of business critical data processes
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Ensuring high quality data is available across the organisation
Your Skills
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Strong SQL
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Experience with a visualisation tool
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Comfortable working across multiple projects at pace
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Able to clean, de-dupe and structure messy data
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Confident communicator who can explain logic and simplify complex ideas
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Financial services experience is preffered
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One month notice period preferred
Why Apply
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Broad exposure across credit, commercial, pricing and risk
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Real ownership from day one with varied project streams
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High visibility with senior stakeholders
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Supportive culture, clear progression and scale up environment
Interview Process
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Intro chat with senior data leaders
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Technical SQL session focused on logic and approach
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Final onsite meet and greet
To Apply for this Job Click Here
Senior DataOps Engineer
Leeds
£62000 - £62000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Data Ops Engineer
Based: Leeds – hybrid
Salary: up to £62,000
I’m partnered with an established FS company who are scaling their cloud-native data platform and building a modern, centralised data function to better support a wide community of Data Scientists, Analysts, and federated Data Engineers across the organisation.
They are looking for a Senior DataOps Engineer to help shape how data pipelines are run, monitored, governed, and optimised at scale.
This is an opportunity to join a growing team working at the heart of the organisation’s data transformation, improving platform efficiency, enabling self-service, and ensuring data pipelines operate with the same discipline as production software.
The Role
As a Senior DataOps Engineer, you’ll take a strategic, high-level view of the data platform while still diving deep when needed. You will focus on observability, automation, pipeline performance, operational excellence, and cloud cost optimisation.
You’ll work cross-functionally with Data Engineering, DevOps, and FinOps teams, helping ensure that data services are reliable, scalable, secure and cost-effective, and that federated teams across the organisation can self-serve with confidence.
What You’ll Be Doing
- Taking an overview of how pipelines run across the platform, improving performance and throughput
- Enhancing observability and monitoring across Azure-based data workloads
- Identifying bottlenecks and opportunities to streamline operational processes
- Using scheduling/orchestration tools to optimise workflows and improve run times
- Treating data pipelines like production-grade software with robust monitoring, automation, and scalability in mind
- Supporting incident management and helping federated teams resolve issues efficiently
- Driving efficiency through automation and reduction of manual operational overhead
- Working with FinOps practices to optimise spend and evaluate cost-performance trade-offs
- Advocating for better platform usage, adoption, and operational best practices
Tech Stack & Skills
Essential
- Strong experience working with Azure cloud platform
- Background in data engineering and building/maintaining data pipelines
- Experience with pipeline monitoring, observability, and incident troubleshooting
- Strong automation mindset and ability to build resilient, self-healing data workflows
Nice to Have
- Knowledge of FinOps principles and cloud cost optimisation
- Experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Airflow
- Exposure to containerisation tools (Kubernetes, Docker)
- Experience with data cataloguing tools
- Familiarity with unit testing in data pipelines
- Awareness of MLOps practices
To Apply for this Job Click Here
Senior Fraud Analyst
£48000 - £55000
+ Risk Analytics
PermanentWest Midlands
To Apply for this Job Click Here
Senior Fraud Analyst
Up to £55,000
Hybrid
West Midlands
Company:
One of our fintech banking clients is looking for a strong Senior Fraud Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python.
Responsibilities:
As a Senior Fraud Strategy Analyst, you will be responsible for:
- Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers
- Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules.
- Managing and mitigating various types of fraud with a focus on application fraud.
- Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
- Leveraging your experience in the UK fraud to align strategies with regulatory requirements and industry best practices.
Key Requirements:
- Extensive experience in developing comprehensive fraud strategies.
- Proficiency in SAS, SQL, and/or Python
- In-depth knowledge of different types of frauds, ideally with experience in Application Fraud.
- Experience working with different fraud systems (Ideally Hunter & Cifas)
Salary: Up to £55,000 Per Year + Strong Benefits Package
To Apply for this Job Click Here
VP of Data
New York
$250000 - $275000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
VP of Data
Fintech
Hybrid in NYC area
$250,000 – $275,000 base + equity + benefits
THE COMPANY
Harnham is working with an innovative fintech that creates real economies in virtual worlds to help studios and creators embed frictionless payments and digital currencies.
They are looking for a VP of Data who will lead data strategy, owning everything from infrastructure to insights. The mission: turn raw data into a powerful engine for smarter decisions, faster operations, and bold product innovation-while keeping compliance rock solid.
RESPONSIBILITIES
- Own data strategy, roadmap and vision
- Instill data governance practices, driving governance standards for relevant financial regulations
- Lead data architecture – modernizing data ecosystem, warehouse, data lakes, ETL pipelines
- Lead the company’s data and machine learning strategy
- Partner with cross-functional departments and C-suite stakeholders (engineering, product, marketing, advertising)
- Manage data products – build & scale applications to automate processes
- Oversee business intelligence function – driving insights, dashboards and reports
SKILLS AND EXPERIENCE
- 10+ years in data roles, including 3+ years in leadership (VP/Director).
- Proven success in FinTech, payments, or regulated financial services.
- Expertise in data governance, quality, and risk management.
- Cloud data warehouses (Snowflake, BigQuery, Redshift).
- ETL/ELT, orchestration tools (Airflow, dbt), CI/CD for pipelines.
- BI tools (Looker, Tableau, Metabase), SQL & Python.
- AWS data stack (Redshift, Glue, S3) and Terraform.
Bonus
- Experience in crypto or gaming industries.
- Degree in Computer Science, Statistics, or related field.
BENEFITS
The compensation package contains a base salary, equity and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Data Science | Business Intelligence | BI | Engineering | Fintech | Production | Real Time | Gaming | Regulation | Python | Compliance | Regulatory | Startup | Executive | Data Governance | Data Architecture | Artificial Intelligence
To Apply for this Job Click Here
Head of Data Management
Nottingham
£85000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentNottingham, Nottinghamshire
To Apply for this Job Click Here
Head of Data Management
£85,000 to £100,000 + Package
Hybrid – Nottingham (3 days a week)
Are you an experienced data leader looking to define and shape how an organisation manages and governs data? This is a newly created role within a major enterprise going through a large-scale transformation, offering the autonomy to redesign data practices from the ground up.
Sitting one level below Director, you will lead a team of 12 (including four Managers) and take full ownership of data management strategy, data governance, and the end-to-end data lifecycle. This is a fast-paced, high-impact environment where you’ll influence senior stakeholders, work closely with Risk, Technology and the Chief Data Office, and drive enterprise-wide improvements across data quality, privacy, and governance.
The Role
In this strategic yet hands-on position, you will
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Own the organisation’s Data Management Strategy and drive business-wide change
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Lead data stewardship across analytical, operational and policy domains
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Shape and improve data governance, quality frameworks, and risk policies
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Oversee the full data lifecycle, ensuring data is discoverable, high quality, and well governed
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Partner with senior leaders, Risk, the DPO and Technology to meet regulatory and privacy requirements
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Guide the organisation through a major data management transformation
Technical Focus
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Strong understanding of ETL, APIs and modern cloud data ecosystems
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SQL and Python expertise (automation experience strongly valued)
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Knowledge of data quality tooling (e.g. Informatica)
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Understanding of data architecture, governance frameworks and lifecycle management
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Experience working within regulatory or data-risk environments is highly advantageous
What They’re Looking For
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An established people leader comfortable managing high-performing teams
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Experience delivering data management transformations
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Strong regulatory understanding (GDPR experience beneficial)
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Ability to influence senior stakeholders and communicate complex data topics with clarity
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Backgrounds may include: Data Management, Data Quality, Governance, Architecture or senior technical roles that have pivoted into leadership
Why Apply?
This is a rare opportunity to step into a high-impact leadership role with the freedom to redefine how data is governed within a major organisation. You’ll shape the roadmap, influence enterprise standards and set the vision for how data is managed in the future.
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
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
Credit Strategy Manager (Business Lending)
City of London
£80000 - £100000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Credit Strategy Manager (Business Lending)
Up to £100,000
Hybrid
London
The Company
I am hiring a Credit Strategy Manager top innovative business lending business based in London. Within this role you will be bringing your business lending acquisitions and underwriting analytics experience to support the business growth across the business lending portfolio using tools like SQL and Python
The Role
As a Credit Strategy Manager, you will be:
- Developing Credit risk strategies for acquisitions and exciting customers
- Developing new insights to drive credit risk strategies for acquisitions and underwriting automation for business loans
- Detecting new trends on customer data to help increase business revenue across the portfolio
- Analysing both internal and external data to drive credit decisioning.
- Working with senior leadership to implement/improve credit risk strategies.
- Using SQL and/or Python daily for strategy development
Your skills and experience
To be successful as a Credit Strategy Manager, you will need:
- Experience developing acquisitions and/or underwriting strategies for a fintech/top UK bank
- Strong analytics skillset and mathematical way of thinking
- Experience working on business lending/SME portfolios.
- Strong experience developing credit risk strategies using SQL and Python
- A STEM degree from a top university
Benefits
Up to £100,000 + comprehensive benefits package
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
Credit Strategy Manager
City of London
£90000 - £110000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Credit Strategy Manager
Up to £110,000
Hybrid
London
The Company
I am hiring a Credit Strategy Manager leading consumer finance FinTech’s based in London. Within this role you will be bringing your acquisitions and ECM strategy experience to focus on driving business growth through acquisitions and revenue from existing using tools like SQL and Python alongside your credit strategy background!
The Role
As a Credit Strategy Manager, you will be:
- Developing new insights to drive optimisation of credit risk strategies.
- Detecting new trends on customer data to help increase business revenue
- 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 Credit Strategy Manager, you will need:
- Experience as a credit risk strategy manager/lead
- Experience working in a fast-paced environment
- Experience developing credit risk strategies for Acquisitions
- Ideally some experience developing ECM and Collections strategies
- Experience working on unsecured lending products, like credit cards and/or loans
- Experience working with SQL and Python
- STEM Degree from a top university
Benefits
Up to £110,000 + Benefits
To Apply for this Job Click Here
Industry Hub
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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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