RISK ANALYTICS
FOCUS
We place talented analytical professionals into the Risk Analyst positions that come with so much responsibility.
We appreciate the importance of protecting the world’s interests and know the role that data has to play. Our dedicated Risk Analytics team fully understands risk analytics in finance and decision science, as well as the significance of knowing your market.
As within the world of Risk Analytics, the customers we work with differ by location, size and industry. We have experience across all the major marketplaces and can assist you, whether you are hiring to reinforce an existing presence or build a new one.
HOW WE
DO IT
To ensure effective, risk-free solutions for our clients and candidates, our recruitment solutions in this marketplace are determined by tried and tested methods.
We appreciate the importance of protecting the world’s interests and know the role that data has to play. Our dedicated Risk Analytics team fully understands risk analytics in finance and decision science, as well as the significance of knowing your market.
As within the world of Risk Analytics, the customers we work with differ by location, size and industry. We have experience across all the major marketplaces and can assist you, whether you are hiring to reinforce an existing presence or build a new one.
WHAT SETS
US APART?
Harnham appreciates the significant resources and sophisticated programs used to analyse and manage risk.
We are dedicated to the people who ensure banks and other financial institutions can identify, measure, monitor and control their credit risk.
We successfully recruit across the full spectrum of skill sets required to support this, from Customer Acquisition to Portfolio Management, Fraud Analytics to Collections & Recoveries, as well as Risk Audit to Credit Risk .
Whether you’re looking for a new opportunity or another team member, we can help you find your ideal solution.
As working from home becomes ever more common, you can now search Remote Risk Analytics Jobs.
DECISION
SCIENCE
Every aspect of business now benefits from the efficiencies that the extrapolation of insights from analytics can deliver.
The collaborative approach of Decision Science teams helps the decision-making process achieve far superior results than ever before. Combining mathematical equations, tech and behavioural sciences for the most informative insights is now standard and has seen the industry progress at a rapid rate.
PORTFOLIOÂ
ANALYST
Global risk and portfolio profiling help brands understand success across metrics such as currencies and economies. Understanding and increasing growth, as well as market share, through skilled optimisation, is a coveted skill set we hire for.
Strategic planning and stress testing to balance risk are paramount for the businesses we work with to maximise returns, and getting the most out of a portfolio is something all Harnham candidates are well versed in.
AIRB
MODELLING
Advanced Internal Ratings-Based Modelling (AIRB) refers to a set of Credit Risk measurement techniques which has allowed banks to develop models which can help them quantify the required capital for Credit Risk.
The development of PD, EAD and LGD models within the banking sector is a very important, but also very niche, skillset into which Harnham has focused on sourcing, understanding, and assessing both candidate abilities and client needs.Â
FRAUD
ANALYST
Fraud Analytics is an essential part of any business when it comes to profit and loss. To mitigate risk, our clients work to understand the drivers of fraud and its ultimate prevention through analytics.
Predicting future areas of fraud, mitigating risk, and protecting their clients and customers without damaging the accessibility and success of their products and services, is a key advantage to any business.
JOBS
LATEST RISK &
FRAUD OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Credit Risk Manager
London
£80000 - £95000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR CREDIT RISK MANAGER
£90,000
LONDON
THE COMPANY
This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position. This role offers the chance to work closely with the data science team to drive impact across their lending strategies and broader business profitability.
THE ROLE
- Analysing trends in lending portfolios to drive insight and enhance business performance
- Monitor and adjust lending strategies across the customer lifecycle to enhance profitability and decisioning
- Collaborating with the data science team to drive model performance and implementation of innovative machine learning models
- Leading the incorporation of new data sources to enhance and improve decisioning
YOUR SKILLS AND EXPERIENCE
- Previous experience in and knowledge of SQL and Python is essential
- Experience in developing lending strategies in a consumer lending environment
- Experience monitoring a lending portfolio and customer trends
- STEM degree from a Russell Group University
SALARY AND BENEFITS
- Base salary of up to £90,000
- Hybrid work model
- Company equity
- Broader company benefits including international trips
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
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
Lead credit risk data scientist
London
£90000 - £140000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
LEAD CREDIT RISK DATA SCIENTIST
LONDON
UP TO £140,000
If you love building models more than managing people, and you’re excited by the idea of shaping the future of motor financing-this one’s for you. You will be joining as an individual contributor, owning the Data Science function!
THE ROLE
- Build, validate, and deploy credit risk, fraud, collections models
- Analyse portfolio performance and monitor key risk indicators
- Collaborate with data engineers to productionise and maintain model pipelines
- Ensure compliance with relevant regulations and support model governance processes
- Communicate insights clearly to technical and non-technical stakeholders
REQUIREMENTS
- credit risk modeling/ data science role, ideally in fintech, banking, or consumer lending
- Strong Python and SQL skills (Pandas, Scikit-learn, etc.)
- Solid understanding of credit risk modelling, statistical methods
HOW TO APPLY
Please apply below…
To Apply for this Job Click Here
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GET IN TOUCH
today
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Industry Hub
HARNHAM
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
