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PRICING DATA SCIENTIST

LONDON- HYBRID

UP TO £65,000

Join a fast-growing motor insurtech company, revolutionizing the insurance industry through data-driven insights, innovative pricing models, and cutting-edge technology. They are looking for a talented Pricing Data Scientist to join the dynamic team and drive innovation in motor insurance pricing.

THE ROLE

• Develop and refine pricing models using statistical and machine learning techniques to improve underwriting accuracy and risk assessment.
• Analyse large data sets to identify trends, customer behaviours, and risk factors that impact pricing strategies.
• Implement data-driven decision-making processes to enhance competitive pricing while maintaining portfolio profitability.
• Collaborate with actuarial, underwriting, product, and technology teams to develop and deploy innovative pricing strategies.
• Continuously monitor and evaluate model performance, making data-backed improvements as needed.

REQUIREMENTS

• Strong experience in data science, pricing analytics within insurance or fintech industries.
• Expertise in statistical modelling, machine learning, and data analysis techniques.
• Proficiency in programming languages such as Python, R, or SQL.

HOW TO APPLY

Please send CV below or

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SENIOR DATA SCIENTIST

£80,000

LONDON

A leading FinTech, recognised as one of the UK’s fastest-growing and most profitable, is seeking a Senior Data Scientist to join their dynamic team. This is a fantastic opportunity to work in an award-winning, data-driven company that is rapidly expanding. With a strong focus on machine learning-driven credit risk models, this role offers hands-on exposure to cutting-edge techniques in an innovative, fast-paced environment.

THE COMPANY

This company has been a pioneer in the Fintech space, with a strong market presence. Their unsecured portfolio has seen massive growth, surpassing 1 million customers this year. The business is highly regarded for its lean, high-performance teams, a culture of ownership, and an exceptional work environment.

THE ROLE

You will work on high-impact projects, collaborating closely with leadership. Your responsibilities will include, but are not limited to:

• Developing credit risk predictive models, including scorecards and pricing models.
• Enhancing existing model suites
• Deploying and monitoring models, ensuring end-to-end implementation
• Conducting deep-dive analysis into lending trends, driving business insights
• Working in a fast-moving FinTech environment, where independence and ownership are highly valued

SKILLS AND EXPERIENCE

• 2-4 years’ experience in Data Science, with a focus on scorecard modelling
• Strong Python & SQL skills, with solid ML modelling experience
• Background in credit/lending – understanding how decisioning models impact the business
• Experience in FinTech preferred (not banking)
• STEM degree from a Russell Group university – strong academic background required
• Ability to work independently and own projects from start to finish

BENEFITS

• Equity
• Private Health Insurance
• Hybrid Working

HOW TO APPLY

If you’re looking to take the next step in your career with a forward-thinking organisation, please submit your CV to Dominic Castro via the Apply link on this page

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SENIOR CREDIT STRATEGY ANALYST

LONDON

UP TO £70,000

Join a dynamic and rapidly expanding FinTech known for its innovative approach to finance. This company offers a unique opportunity for a driven analyst to lead commercial strategy across lending, pricing, and advanced analytics. If you’re looking for a chance to shape impactful strategies in a successful and fast-growing business, this could be the ideal role.

THE ROLE

As a Senior Credit Risk Strategy Analyst, you will focus on developing and refining customer strategies, including:

• Leading the development of diverse lending strategies
• Leveraging analytics and data insights to optimize and scale strategies for new customers
• Incorporating new data sources to enhance decision-making and grow the lending portfolio
• Conducting broader customer analytics and analyzing behavioral trends

REQUIREMENTS

• Experience working in fast-paced environments, with the ability to manage multiple projects
• Background in commercial or risk strategy, preferably within consumer lending
• Proficiency in SQL, with Python experience being highly advantageous
• Previous experience in a FinTech environment

HOW TO APPLY

Please apply to the link below or send CV

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SENIOR FRAUD ANALYTICS CONSULTANT

UP TO £65,000

LONDON- TWICE A WEEK

A big4 consutlancy are currently seeking a highly skilled and experienced Senior Fraud Analytics Consultant to join their dynamic team and contribute to our mission of delivering cutting-edge solutions to complex business challenges.

THE ROLE

• Lead the design and implementation of fraud detection and prevention strategies for clients across various industries.
• Utilize advanced analytics techniques, including machine learning, predictive modeling, and data mining, to identify and assess fraud risks.
• Conduct comprehensive data analysis to uncover patterns, trends, and anomalies indicative of fraudulent activities.
• Develop and deploy fraud detection models, algorithms, and dashboards to monitor and mitigate fraud risks.
• Collaborate with clients to understand their business needs, design tailored fraud analytics solutions, and provide expert recommendations.
• Present findings, insights, and recommendations to clients and senior stakeholders in a clear and concise manner.
• Stay current with industry trends, emerging technologies, and regulatory changes related to fraud analytics.

REQUIREMENTS

• Proven experience in fraud analytics, data analysis, or a related field, preferably within a consulting or professional services environment.
• Strong proficiency in analytical tools and programming languages such as SQL, R, Python, and data visualization tools like Tableau or Power BI.
• Deep understanding of fraud detection techniques, risk assessment methodologies, and regulatory requirements.

HOW TO APPLY

Please send CV

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CREDIT RISK STRATEGY MANAGER

LONDON- HYBRID

UP TO £100,000

Join a leading fintech as a Credit Risk Strategy Manager, you’ll play a pivotal role in ensuring the soundness and profitability of our lending strategy for the credit card portfolio.

THE ROLE

• Developing and optimizing credit risk strategies to enhance decision-making processes.
• Analyzing data to identify trends, assess risk levels, and implement effective risk mitigation strategies.
• Designing and implementing credit risk models and frameworks to support business objectives.
• Monitoring portfolio performance and proactively identifying areas for improvement.
• Collaborating with cross-functional teams to align credit risk strategies with business goals.
• Ensuring compliance with regulatory requirements and best practices in credit risk management.

REQUIREMENTS

• Credit risk experience working within unsecured lending
• Strong analytical skills and proficiency in data analysis tools and techniques- Experience with SQL and python for strategy and data analysis

BENEFITS

• Flexible working and great benefits

HOW TO APPLY

Please apply below or send your CV

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FRAUD ANALYTICS LEAD

LONDON- HYBRID/ ONCE A MONTH

UP TO £75,000

Join a leading European Bank to look after their digital fraud strategy.

A leading bank are seeking a highly skilled Fraud Analytics Lead to spearhead the Digital & Non-Plastics Fraud Strategy and Rules Management. This role will play a pivotal part in defining, optimizing, and implementing fraud prevention strategies across digital channels, alternative payment methods, and non-card-based transactions.

THE ROLE

• Develop and execute a comprehensive fraud prevention strategy for digital and non-plastics fraud, leveraging advanced analytics and industry best practices.
• Design, implement, and fine-tune fraud rules and models to detect and mitigate fraudulent activities while minimizing false positives.
• Monitor fraud trends, emerging threats, and attack vectors to proactively adjust fraud prevention strategies.
• Collaborate with data science, technology, operations, and product teams to enhance fraud detection capabilities and improve customer authentication processes.
• Optimize fraud detection tools and platforms, ensuring efficiency and effectiveness in combating evolving fraud patterns.
• Conduct in-depth data analysis and performance reviews of fraud detection rules, refining them to balance fraud prevention and customer experience.

REQUIREMENTS

• Proven experience in fraud strategy, analytics, or risk management within financial services, fintech, or a related industry.
• Expertise in digital fraud trends, including account takeover, synthetic identity fraud, and non-card fraud schemes.
• Strong knowledge of fraud detection tools, machine learning models, and rule-based systems.
• Proficiency in analytics tools such as SQL, Python, R, or similar.

HOW TO APPLY

Please send CV

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LEAD IMPAIRMENT ANALYST (FTC)

£90,000 SALARY

LONDON (2-3 DAYS A WEEK IN OFFICE)

A leading financial institution is looking to expand its impairment team by bringing in a new Lead Analyst to be the main POC for an exciting new project. In this highly visible role, you’ll be directly influencing the company’s IFRS9 strategy.

THE COMPANY

This business offers a range of different consumer finance products, giving you the scope to gain experience with a breadth of products. They are a fast-paced company and is highly regarded within the industry.

THE ROLE

• Supporting the head of the team in reporting and delivering impairment results with a clear explanation of the drivers to inform decision-making
• Running the monthly expected credit loss calculations
• Building and maintaining key impairment insights
• Preparing presentation packs to deliver key impairment results on a regular basis
• Mentoring more junior members of the team

YOUR SKILLS AND EXPERIENCE

• Proficiency in both SAS and SQL – Python is desirable
• Strong knowledge and experience with IFRS9
• Strong experience with unsecured portfolios – Credit card experience is a strong preference

THE BENEFITS

• Salary up to £90,000
• Strong discretionary bonus
• Hybrid working policy (2-3 days a week in office)
• Good pension scheme
• This role does not offer sponsorship

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV directly

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SENIOR PRICING ANALYST – INSURANCE

£60,000

LONDON (remote option available)

Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to own their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance.

THE COMPANY

This business are a lean and focused Insurtech who are starting to expand their market share. They have a small and close-knit team and are now looking to add a driven and motivated candidate to help them in a variety of projects, with pricing modelling at the core. They offer a fast-paced and data-focused environment where no two days will be the same!

THE ROLE

You can expect to:

• Develop cutting edge pricing models using Python and Machine Learning techniques
• Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement
• Analyse large sets of customer data to drive insight and commercial performance
• Share insight with the wider team and helping to improve profitability across the business on ad hoc project work

YOUR SKILLS AND EXPERIENCE:

• At least 2 years prior experience in pricing analytics within insurance
• Good knowledge of Python is essential
• Prior model development experience is essential, GBM experience is desirable
• Strong communication skills and desire to learn is key

SALARY AND BENEFITS

• Up to £60,000 base salary
• Discretionary bonus scheme
• Contributory pension scheme
• Remote-based work model
• 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Public Job Description: VP of Risk Management

Location: Dallas/Fort Worth, TX (Remote options available for exceptional candidates)

About the Company: We are a fast-growing fintech company that is transforming the financial services industry with innovative products and cutting-edge technology. Our mission is to provide accessible financial solutions to help individuals manage their credit and financial health. We are seeking an experienced VP of Risk Management to lead risk strategy across key areas of the business, including fraud prevention, account management, and data analysis.

Position Overview: As the VP of Risk Management, you will play a pivotal role in shaping and executing risk management strategies across multiple functions. This role is ideal for a versatile and hands-on leader who thrives in a fast-paced environment and can navigate a broad range of responsibilities. You will lead initiatives in risk analysis, fraud management, data analytics, and account management, particularly with bank transaction data. Additionally, you will oversee partnerships, ensuring alignment with the company’s overall risk management objectives.

This is a leadership position that requires a strong background in credit risk management, data-driven decision-making, and cross-departmental collaboration. You will manage teams in Dallas as well as remote employees, and work closely with product, marketing, and other departments to ensure the company is building products that minimize risk and maximize value for customers.

Key Responsibilities:

• Leadership & Team Management: Lead and manage risk management teams located in Dallas and remotely, offering mentorship and fostering a collaborative environment.
• Risk Analysis & Strategy: Analyze the risk impact of new products and services, making data-driven recommendations to mitigate potential risks.
• Cross-Functional Collaboration: Work across the company to align on risk management initiatives, ensuring all teams are working towards the same objectives.
• Fraud Prevention & Modeling: Spearhead the development of fraud prevention solutions using AI tools and technologies. Lead efforts to create a real-time decision-making platform by the end of the year.
• Account & Partnership Management: Oversee partnerships and account management to ensure risk management strategies are aligned with overall business goals.

Experience & Qualifications:

• 10+ years of experience in risk management, with a strong focus on Credit Risk Management.
• Extensive experience with decision engines, risk tech platforms, and credit bureaus.
• Proven experience in leading teams and executing roadmaps for complex risk management projects.
• Hands-on experience with AI technologies, particularly in the development of models for fraud detection and credit risk.
• Expertise in working with bank transaction data, underwriting policies, and manual underwriting processes.

Compensation:

• Base Salary: $250,000 – $275,000
• Bonus: 30% performance-based
• Equity: Participation in the company’s equity program

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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

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Senior Acquisitions Strategy Analyst

Up to £80,000

Hybrid

London

The Company

I am hiring a Senior Acquisitions Strategy Analyst leading FinTech’s based in London. Within this role you will be bringing your acquisitions strategy experience to focus on driving business growth through acquisitions using tools like SQL and Python alongside your credit commercial background.

The Role

As a Senior Acquisitions Strategy Analyst, 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.
• 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 Acquisitions 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
• Ideally, some experience developing ECM and Collections strategies
• Experience working with SQL and Python
• STEM Degree from a top university

Benefits

Up to £80,000 + Benefits

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Fraud Manager

Staffordshire

Up to £60,000

On-site (5 days a week in office)

This is a great opportunity to work for a Top Entertainment business who are a market leader within the space. As a Fraud Investigation Manager, you will be managing a team of investigators and working with senior stakeholders internally and externally to protect the business and its customers against fraud.

The Role

As a Fraud Manager, you will be working within a team to:

• Investigating fraud cases and supporting the team at the escalation phase
• Managing a team of fraud investigators and managing the team workload
• Staying up-to-date with fraud trends, regulation, and policy
• Analysing and supporting new fraud trends being seen by the investigators
• Working with the data teams to create new solutions in stopping transaction fraud
• Liaising with regulatory bodies to make sure the business is in line with fraud regulation

Your skills and experience

For you to be successful as a Fraud Investigation Manager, you will need:

• Experience as a Fraud Manager
• Experience managing a team of fraud investigators
• Strong experience investigating transaction fraud
• Excellent organisational and communication skills
• Excellent interpersonal skills
• Ability to manage both upwards and downwards
• Experience working closely with regulators

Benefits

Up to £60,000 + benefits

APPLY NOW!!!

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