WHAT
WE DO
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.
WE HELP YOU
MAKE THE
RIGHT CHOICE
The need to leverage and process the huge amounts of data gathered by a business each day in an unbiased manner is a difficult chore to a gain completive edge.
Harnham meets the needs of diverse brands who realise and understand that interpreting data intelligently can provide answers to solve complex business problems. We are the recruitment firm dedicated to provide decision makers with the staff to help them make the most informed decisions.
RISK ANALYTICS
OVERVIEW
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.
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.
PORTFOLIO
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.
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
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Pricing Modelling Specialist
£65000 - £75000
+ Risk Analytics
PermanentWest Midlands
To Apply for this Job Click Here
Pricing Modelling Specialist
West Midlands
Hybrid
Up to £75,000
Company:
I am hiring for a leading insurance company at the forefront of the industry, committed to its valued customers. They have a huge market presents across the UK with huge investment and planned growth across the EU over the next couple of years the company are continuously pushing boundaries to deliver unparalleled services to their clients within the industry
The Role:
- Building pricing models, using statistical techniques and machine learning algorithms.
- Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization.
- Developing and implementing pricing strategies
- Collaborating with external stakeholders to understand client objects for insurance
- Utilizing your strong communication skills to present complex pricing concepts and strategies
- Optimisation and testing pricing models to increase effectiveness for clients
Experience Required:
- Experience in pricing analyitcs within the insurance industry.
- Experience with Emblem, Radar, and/or Earnix
- Experience with SQL and Python to extract, manipulate, and analyse large datasets.
- Experience using Python building pricing models
- Proven experience in building pricing models using statistical techniques and machine learning algorithms.
- Excellent communication and interpersonal skills
- Experience working with senior stakeholders and helping to implement pricing strategy
Benefits
Up to £75,000 + competitive benefits package
HOW TO APPLY
Please register your interest by sending your CV to Sean Tunley via
To Apply for this Job Click Here
Senior Data Scientist – Credit Risk
London
£70000 - £90000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK DATA SCIENTIST
UP TO £90,000
LONDON OR MILTON KEYNES (HYBRID)
THE COMPANY
This is an amazing opportunity to join one of the UK’s fastest growing fintech that specialises in offering credit cards and personal loans to customers through transparent and straightforward offerings. They cater to a broad audience and prioritise customer accessibility. Utilising advanced machine learning techniques, they ensure competitive products and services.
ROLE AND RESPONSIBILITIES
- Contribute to the development, implementation, and monitoring of impactful and value-driven models and statistical algorithms. Reporting directly to the Head of Data Science.
- Close collaboration with the broader Analytics team to enhance the overall value of the portfolio through the adaptation of data sources, modeling strategies, methodologies, and processes.
- Engagement with relevant external entities, such as credit reference agencies, data providers, and software vendors.
- Production of high-quality model documentation and recommendations for presentation to both technical and non-technical audiences.
YOUR SKILLS AND EXPERIENCE
- Experience in Python is essential, SQL is ideal.
- Prior experience in modeling, data science, or decision science within the context of risk management.
- Excellent verbal and written communication skills with the ability to convey complex concepts to non-technical individuals.
- Willingness and ability to work effectively in a high-paced start-up/scale-up environment.
- Must have a strong numeric degree.
THE BENEFITS
- Up to £90,000.
- Hybrid (Twice a week in the office).
- Discretionary Bonus.
HOW TO APPLY
If you are interested in the role please send your CV or via the Apply Link below.
To Apply for this Job Click Here
Senior Data Scientist – Credit Modeller
London
£60000 - £90000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA SCIENTIST – CREDIT MODELLER
£90,000
LONDON
THE COMPANY
This role is with an exciting business in the consumer lending space. They have grown significantly over the past few years and are looking to add a motivated and experienced individual within their growing data science function. This role offers the chance to work end-to-end across a range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space.
THE ROLE
- Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
- Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
- Develop challenger models to improve and enhance the modelling suite
- Working to solve ad hoc business problems and develop strategy in conjunction with teams across the business
YOUR SKILLS AND EXPERIENCE
- Essential to have has experience in credit risk modelling, specifically scorecards
- Strong skills in Python and SQL are essential
- Ideal to have experience in the unsecured space
- Experience in a fast-paced environment and ability to work across multiple projects
- Commercial mindset and desire to drive business forwards
SALARY AND BENEFITS
- Up to £90,000 base salary
- Company bonus scheme
- Contributory pension scheme
- Flexible holiday scheme
- Hybrid work model
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
Senior Credit Risk Analyst
Birmingham
£45000 - £55000
+ Risk Analytics
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Senior Credit Risk Analyst
Up to £55,000
Hybrid
Birmingham
The Company
I am hiring a credit risk analyst for a leading lending company that leads the way on all types of unsecured and secured lending. Within this role, you will help drive credit risk strategy using analytics to drive company-wide profitability.
The Role
As a Senior Credit Risk Analyst, you will be:
- Reporting on credit risk insights and trends to senior stakeholder
- Helping maintain credit risk strategies to maintain profits and reduce losses
- Spotting trends to find new ways to increase profitability for credit risk
- Developing new lending opportunities across the business
- Developing credit risk strategy for the whole credit risk life cycle
Your skills and experience
To be successful as a Senior Credit Risk Analyst, you will need:
- Strong experience with SAS, SQL, and/or Python
- Experience as a credit risk analyst in an analytical position
- Experience developing credit risk strategy.
- Experience working in financial services (ideally a Bank)
- Excellent communication skills
- Strong stakeholder management
- A numeric degree from a top university
Benefits
Up to £55,000 + benefits package
HOW TO APPLY
Please register your interest by sending your CV to Sean Tunley via
To Apply for this Job Click Here
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