About this role
Salary: £70,000 - 70,000 per year
Requirements: We have 4-5 years of experience conducting analysis in Python and extracting/manipulating data in SQL.We have 2-5 years of experience in a quantitative credit risk or fraud role.We have experience with supervised models, such as logistic regression and gradient boosting.We are able to work autonomously and are proactive problem solvers.Nice-to-have strengths include experience in consulting and/or start-up environments.Nice-to-have strengths include strong commercial acumen and an understanding of the economics underpinning credit or payments portfolios.Nice-to-have strengths include experience with unsupervised ML methods, such as clustering and anomaly detection.Nice-to-have strengths include LLM prompt management or agentic experience.Nice-to-have strengths include a good grasp of fundamental principles of credit risk modelling and the ability to creatively apply them to new problems. Responsibilities: We use advanced analytics, and where necessary account-level reviews, to monitor and assess our partners portfolios and maintain a deep understanding of existing and emerging risks.We build, implement, and monitor new predictive rules and models to improve our ability to understand the risk presented by merchants our partners are bringing.We liaise with various payments firms and insurers to understand their needs and help shape the solutions we bring to market. Technologies: LLMPythonSQL More:
At Envisso, we believe in the power of diverse teams to drive innovation. We are committed to fostering a collaborative, supportive, and inclusive environment. We offer flexible remote or hybrid working arrangements, opportunities for significant professional growth and advancement, exposure to Asian, European, and American markets, a competitive compensation package including company equity and performance incentives, private healthcare employee insurance, employee stock ownership plan, private medical insurance, and the option to work from home. The role is based in London with hybrid remote working, and we are looking for someone ready to help shape the future of payment risk management.
last updated 37 week of 2026