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 Data Analyst (Azure)
Birmingham
£40000 - £48000
+ Advanced Analytics & Marketing Insights
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
SENIOR DATA ENGINEER
£40,000-£48,000 + BENEFITS
WEST MIDLANDS 1 x a week
A chance to act as a subject matter expert, and work with the wider teams to support the implementation of a new impact admin system.
THE COMPANY:
An opportunity to join a growing company in the financial industry, which as it develops, is placing a bigger importance on maintaining a robust and streamlined database!
THE ROLE:
A Senior Data Analyst will need to look at:
- Data mapping – understand how legacy translates to the new system
- Data integration and transformation – bring multiple sources together,
- presenting insights
- Collaborate with stakeholders
YOUR SKILLS AND EXPERIENCE:
A successful Senior Data Analyst will have the following skills and experience:
- Experience in SQL
- Strong SSIS or Azure Data Factory skills
- Prior experience in agile environments
- Stakeholder management
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £48,000 On top of the salary there are some fantastic extra benefits.
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
Senior Data Scientist
London
£80000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
Fashion retailer
London (2-3x days a week in office)
£85,000 + Bonus + Benefits
THE ROLE:
Harnham is working with a leading fashion retailer in the UK who are looking to add a Senior Data Scientist to their UK team.
The focus of this new investment is to introduce cutting-edge machine learning to the business, solving problems across the company.
Projects will include: performance marketing (attribution modelling / market mix modelling), customer behaviour analysis, supply chain optimisation and dynamic pricing strategies.
WHAT YOU NEED:
- A solid understanding of both supervised and unsupervised machine learning techniques
- A passion for solving complex commercial problems with a data-driven modelling approach
- Strong communication skills
- An MSc or equivalent in a STEM subject
- Strong skills in Python and SQL
- Cloud experience
- Experience in deploying, scaling and maintaining machine learning models in production.
THE BENEFITS
You can earn up to £85,000 + bonus + benefits in this position.
HOW TO APPLY
To be considered for this exciting opportunity, please submit your details using the Apply button on this page. For more information about similar roles please contact Nick Mandella at Harnham.
KEYWORDS
Python, SQL, Data Scientist, Data Science, Machine Learning, Retail, Customer, marketing, Data, AI. Databricks, azure, MLOps.
To Apply for this Job Click Here
Senior Loyalty & Success Manager
London
£50000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Loyalty & Success Manager
£60,000 – £65,000
London – Hybrid (minimum 3 days in the office per fortnight)
The Company
An innovative and fast-growing UK-based digital lender on a mission to simplify consumer finance. With a strong focus on customer experience, digital innovation, and fair treatment, this company is redefining how people interact with credit. Launched with a digital credit card in 2018, they’re continuing to expand their product offering while building a loyal and satisfied customer base.
The Team
This role sits within the Customer department and reports into the Chief Customer Officer. You’ll work closely with the CRM team, marketing, and customer engagement specialists to deliver creative, impactful customer experiences.
The Role
As Senior Loyalty & Success Manager, you will lead the design and delivery of personalised, engaging customer experiences that build loyalty and satisfaction. This is a hands-on, creative marketing role with a strong strategic element – ideal for someone with a passion for building meaningful relationships with customers and creating marketing that resonates.
Key responsibilities include:
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Leading gamification strategies that drive participation and loyalty.
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Building and managing relationships with third-party rewards partners.
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Designing engagement programmes, such as feedback surveys and community initiatives.
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Ensuring positive customer outcomes through value-driven and tailored experiences.
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Collaborating with CRM to deliver personalised, multichannel communication.
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Writing and producing compelling marketing communications across app, email, and in-app channels.
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Monitoring and optimising loyalty initiatives based on performance and customer feedback.
Your Background
We’re looking for someone with:
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A creative, customer-first mindset, capable of coming up with fresh and innovative ideas.
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Strong marketing experience, with a flair for copywriting, customer engagement, and loyalty strategy.
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The ability to work independently while also collaborating across teams to drive change.
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A solid understanding of customer psychology, needs, and behaviours.
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Previous experience with executing gamification strategies.
This is a unique opportunity to shape the customer experience of a growing fintech brand, delivering strategic and creative initiatives that genuinely improve customer outcomes
To Apply for this Job Click Here
Senior Data Engineer (SSIS) (Finance Experience)
£65000 - £70000
+ Data Engineering
PermanentStaffordshire
To Apply for this Job Click Here
SENIOR DATA ENGINEER
£65,000-£70,000 + BENEFITS
STAFFORDSHIRE (Hybrid)
A chance to help maintain and optimise existing databases, as well as develop new solutions both on smaller scale individual requests as well as on exciting large scale projects!
THE COMPANY:
An opportunity to join a growing company in the financial industry, which as it develops, is placing a bigger importance on maintaining a robust and streamlined database!
THE ROLE:
A Senior Data Engineer will need to:
- Maintaining SQL server environmemt.
- Lead development of innovative data architecture
- Design scalable data solutions
YOUR SKILLS AND EXPERIENCE:
A successful Senior Data Engineer will have the following skills and experience:
- Experience in TSQL
- Extensive SSIS/SSRS experience
- Data modelling skills
- Stakeholder management
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.
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
Head of Acquisition
London
£90000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Head of Acquisition
Up to £100,000 + benefits
Hybrid – London
A great opportunity to join a leading fintech lender as Head of Acquisition
THE COMPANY
Our client is a rapidly growing FinTech digital lender offering credit card products through both co-brands and their own portfolio. Established in 2020, the company has a solid foundation with major partners and is now scaling up, with new brands and partnerships in the pipeline. This is an exciting opportunity to join a business set for significant growth.
ROLE OVERVIEW
The Head of Acquisition will be responsible for driving customer acquisition across various channels, particularly aggregators, and working closely with key stakeholders across the business. This role involves shaping and executing the acquisition strategy, identifying opportunities for growth, and leading a team. The ideal candidate will be able to work with major industry players and contribute to the company’s expansion.
KEY RESPONSIBILITIES
- Lead and oversee all new customer acquisition across multiple channels, especially aggregator channels.
- Collaborate with cross-functional teams to execute the acquisition strategy.
- Identify inefficiencies and implement opportunities to drive growth in acquisition metrics.
- Work closely with other departmental leads to develop and implement acquisition plans.
- Meet sales targets and manage performance against KPIs.
- Help shape the strategy for growth in key partnership channels.
- Provide mentorship and guidance to team members.
THE REQUIREMENTS
- Extensive experience in customer acquisition and distribution across multiple sales channels.
- Strong understanding of credit cards, unsecured personal loans, and consumer banking.
- Excellent communication and leadership skills with experience managing teams.
- Familiarity with aggregators (preferred).
- Proficiency in reading and interpreting data, including strong skills in Excel and Google Analytics.
- Comfortable working in a fast-paced, ambitious environment with a focus on commercial impact.
THE BENEFITS
- Up to £100,000 + benefits
- Hybrid
- London
HOW TO APPLY
If interested in this role please send your CV to Jordan Victor via the Apply Link below
To Apply for this Job Click Here
Fraud Strategy & Analytics Manager
City of London
£80000 - £100000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Fraud Strategy & Analytics Manager
Up to £100,000
Hybrid (3 days a week in office)
London
Company:
One of our fintech clients is on the lookout for a top Fraud Strategy Manager to join their fraud analytics function to work on developing fraud strategies, rules, and providing insights for senior stakeholders both internally and externally using tools like SQL and Python.
Responsibilities:
As a Fraud Strategy Manager, you will be responsible for:
- Crafting and implementing effective fraud strategies to mitigate risks and protect the bank and its customers
- Utilizing SQL and Python to identify fraud patterns, develop predictive models, and develop fraud rules
- Working with senior stakeholders to push for policies to be put in place to prevent fraud
- Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
- Making sure that every strategy is in line with regulatory requirements and industry best practices.
Key Requirements:
- Strong experience in developing comprehensive fraud strategies and rules
- Proficiency in SQL and Python
- In-depth knowledge of fraud from a regulatory standpoint
- Experience working with multiple different vendors.
- Previous experience working for a fast-paced business/fintech
- STEM Degree from a top university
To Apply for this Job Click Here
Head of Data Science
City of London
£120000 - £140000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Head of Data Science
Up to £140,000
London
Hybrid
I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.
The Role:
- Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
- Developing models for fraud prevention and models for customer analytics
- Working with senior stakeholders across different areas of the business being able to manage both down and up
- Setting out the data science and modelling roadmap for the business
- Improving efficiency with the development of automation across the business.
Your Skills & Experience:
- Experience with Unsecured consumer lending
- Strong experience using SQL and python across your career.
- Experience owning and developing credit risk models
- Experience developing scorecards and decision models
- STEM Degree from a top University
Salary – Up to £140,000
To Apply for this Job Click Here
Lead Credit Risk Analyst
Birmingham
£50000 - £60000
+ Risk Analytics
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Lead Credit Risk Analyst
Up to £60,000
Hybrid
Birmingham
The Company
I am hiring a Lead Credit Risk analyst for lending business that leads the way on all types of unsecured lending for a large consumer base across the UK. Within this role you will help drive credit risk strategy using analytics to drive companywide profitability.
The Role
As a Lead Credit Risk Analyst, you will be:
- Reporting on credit risk insights and trends to senior stakeholders
- Using analytics skills to improve credit risk strategies
- Helping manage the credit risk customer lifecycle
- Spotting trends to find new ways to increase profitability for credit risk
- Developing new credit risk strategies across the business for acquisitions and existing customers.
- Working with and presenting to senior stakeholders daily within the role.
Your skills and experience:
To be successful as a Lead Credit Risk Analyst, you will need:
- Strong experience with SAS and/or SQL
- Experience as a credit risk analyst in an analytical position
- Experience developing credit risk strategy.
- Experience working in financial services
- Excellent communication skills
- Strong stakeholder management
- STEM Degree from a top university
Benefits
Up to £60,000 + benefits package
To Apply for this Job Click Here
Credit Risk Data Scientist
City of London
£65000 - £80000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Credit Risk Data Scientist
London
Hybrid
Up to £80,000
The Company
I am hiring for a lending fintech based in London who are looking to bring in a Credit Risk Data Scientist to build decision scorecards across the credit risk customer lifecycle.
The Role
What you will do as a Credit Risk Data Scientist:
- Developing scorecards across the credit risk customer lifecycle
- Analyse large datasets to extract meaningful insights to drive model development.
- Developing models working with other functions for collections and acquisitions scorecards
- Communicating and presenting analysis and insights to senior stakeholders across the company
- Using Python daily to develop credit risk models and improve the credit risk scorecard models across the customer lifecycle.
Requirements:
What you need to be successful as a Credit Risk Data Scientist:
- Strong experience working within credit risk models.
- Experience at a fintech/fast-paced company
- Experience developing credit risk scorecards end-to-end.
- Strong experience developing credit models end-to-end.
- Strong experience using Python to develop models.
- Numeric degree from a top university.
Benefits
Up to £80,000 + competitive bonus and benefits
HOW TO APPLY
Please register your interest by sending your CV to Sean Tunley via
To Apply for this Job Click Here
Fraud Strategy & Analytics Consultant
City of London
£55000 - £65000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Fraud Strategy & Analytics Consultant
Up to £65,000
Hybrid
London
Company:
One of our Consulting clients are on the lookout for a highly skilled Fraud Strategy & Analytics Consultant to join their fraud function working closely with clients developing strategies and providing insights.
Responsibilities:
As a Fraud Strategy & Analytics Consultant, you will be responsible for:
- Developing and implementing effective fraud strategies to mitigate risks and protect different clients and customers
- Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models.
- Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud.
- Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
- Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.
Key Requirements:
- Extensive experience in developing comprehensive fraud strategies.
- Strong experience with analysis of large customer data sets.
- Proficiency in SQL, Python, and Power BI.
- In-depth knowledge of scams, Authorized Push Payment (APP) fraud, and third-party fraud.
- Experience working with different vendors.
- Previous experience working for a UK bank.
Salary: Up to £65,000 Per Year + Strong Benefits Package
To Apply for this Job Click Here
Senior Insurance Pricing Analyst
City of London
£50000 - £60000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Senior Insurance Pricing Analyst
London
Hybrid (1 day week in office)
Up to £60,000
Company:
I am hiring for a leading insurance company at the forefront of the industry, committed to its valued customers. They have a consumer market presence across the UK with huge investment and planned growth over the next couple of years. You will be coming in as a Senior Pricing Analyst to drive business profitability and support growth moving forward.
The Role:
- Building pricing models, using statistical techniques in pricing
- Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization.
- Developing and implementing pricing strategies
- Utilizing your strong communication skills to present complex pricing concepts and strategies to senior stakeholders across the business
- Optimisation and testing pricing models to increase efficiency for the business
Experience Required:
- Experience in pricing analytics within the insurance industry.
- Experience developing pricing models using Python.
- Proven experience in building pricing models using statistical techniques
- Excellent communication and interpersonal skills
- Experience working with senior stakeholders and helping to implement pricing strategy
- STEM Degree
Benefits
Up to £60,000 + competitive benefits package
To Apply for this Job Click Here
Head of Data Science (Credit Risk & Fraud)
City of London
£120000 - £140000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Head of Data Science (Credit Risk & Fraud)
Up to £140,000
London
Hybrid
I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.
The Role:
- Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
- Developing models for fraud prevention and models for customer analytics
- Working with senior stakeholders across different areas of the business being able to manage both down and up
- Setting out the data science and modeling roadmap for the business
- Improving efficiency with the development of automation across the business.
- Cross-collaborating with other functions across the business to increase efficiency and revenue
Your Skills & Experience:
- Experience with Unsecured consumer lending
- Strong experience using SQL and python across your career.
- Experience owning and developing credit risk models
- Experience developing scorecards and decision models
- STEM Degree from a top University
Salary – Up to £140,000
To Apply for this Job Click Here
Industry Hub
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News & Blog
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