Senior Risk Data Scientist

Harnham - Data and Analytics Recruitment; Greater London; Remote; GBP 80,000 - 85,000; Full time

Benefits offered by this job

Benefits

Job summary

Harnham - Data and Analytics Recruitment in London is seeking a Senior Risk Data Scientist to develop and sharpen predictive risk capabilities across payments and financial services. You will work at the intersection of data science, ML, and risk management to shape product direction.

You will collaborate with commercial stakeholders and external partners to identify risk signals, deploy models, and monitor performance.

Qualifications

• Experience using Python for data analysis and modelling.
• Advanced SQL skills for large datasets.
• Experience in credit risk, fraud analytics, or payments risk.
• Experience building supervised ML models (logistic regression, gradient boosting).
• Ability to work autonomously in a fast-moving environment.
• Exposure to clustering, anomaly detection, or LLM-related AI is a plus.
• Knowledge of risk-based products in financial services is beneficial.

Responsibilities

• Develop and enhance predictive risk capabilities with commercial stakeholders.
• Build, deploy, and monitor predictive models and risk rules.
• Apply ML and statistical techniques to real-world data challenges.
• Collaborate with external partners to understand requirements.
• Contribute to innovative risk management methodologies and IP.

Skills

Python

SQL

Credit risk

Fraud analytics

Payments risk

Supervised ML models

Logistic regression

Gradient boosting

Autonomy

Problem solving

Fast-paced environment

Clustering

Anomaly detection

LLM applications

Agentic AI

Job description

Senior Risk Data Scientist

Remote (London) | £80,000 - £85,000 + Benefits

This is an opportunity to join an innovative data-driven business that is transforming how risk is assessed and managed within the payments ecosystem. Working at the intersection of Data Science, Machine Learning, and FinTech, you will have the chance to solve complex commercial challenges, influence product development, and help shape cutting-edge risk solutions from the ground up.

The Company

They are a fast-growing technology business focused on helping organisations better understand and manage risk through advanced analytics and machine learning. Their proprietary solutions combine large-scale transactional data with external data sources to deliver actionable insights and predictive risk intelligence. Operating across international markets, they offer a collaborative environment where data science plays a central role in business success.

The Role

As a Senior Data Scientist, you will be responsible for developing and enhancing predictive risk capabilities while working closely with commercial stakeholders and external partners.

Key responsibilities include:

• Using advanced analytics and investigative techniques to identify, monitor, and understand emerging risk trends across customer portfolios.
• Building, deploying, and monitoring predictive models and risk rules to improve decision-making and risk assessment.
• Applying machine learning and statistical techniques to complex real-world data challenges.
• Collaborating with external stakeholders to understand requirements and influence product development.
• Contributing to the development of innovative risk management methodologies and intellectual property.

Your Skills & Experience

• Strong commercial experience using Python for data analysis and modelling.
• Advanced SQL skills for extracting, transforming, and analysing large datasets.
• Experience working within credit risk, fraud analytics, payments risk, or a related quantitative environment.
• Practical experience building supervised machine learning models such as logistic regression and gradient boosting models.
• Ability to work autonomously, solve problems proactively, and thrive in a fast-moving environment.
• Exposure to clustering, anomaly detection, LLM applications, or agentic AI approaches would be advantageous.
• Strong commercial understanding of risk-based products, financial services, or payments environments is beneficial.