Senior Credit Quantitative Analyst at Old Mutual optimizing credit origination and risk strategies while collaborating with cross - functional teams. Leading analysis to support profitable lending products and compliance.
About the role
- Risk Data Analyst enhancing fraud detection and risk insights within Teya's operations. Focusing on financial risks and collaborating with cross-functional teams.
Responsibilities
- Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to reduce false positives, investigation time, and customer friction
- Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies
- Act as a bridge between data and the business, collaborating closely with Operations, Compliance, Engineering, and Product teams to shape and prioritise analytical initiatives
- Identify opportunities to improve and automate monitoring, escalate emerging threats, and continuously evolve our understanding of risk
- Build and maintain clear and impactful dashboards, reports, and documentation to monitor key metrics, surface relevant trends, and drive data-informed decisions
- Partner with data engineering to design and maintain scalable, reliable data models and ETLs that underpin both operational and strategic use cases
- Help define and analyse fraud and AML KPIs, helping the business plan and course-correct with confidence
- Promote a culture of data-driven decision-making across the organisation
Requirements
- 2+ years of professional experience as a data analyst, preferably in fraud, AML, or financial risk monitoring
- Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regression analysis
- Experience in producing insights that led to measurable improvements, ideally in relevant domains such as fraud, AML detection, or operations
- Advanced proficiency in SQL and experience working with large, complex, and sometimes messy datasets
- Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt
- Proficient in Tableau or equivalent BI tool
- Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling
- Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders
- Experience working collaboratively with cross-functional partners, including Operations, Compliance, Engineering and Product
- Self-starter who thrives in a fast-paced, high-ambiguity environment and takes ownership of their work from start to finish
Benefits
- We trust you, so we offer flexible working hours, as long it suits both you and your team
- Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps
- Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support
- Cycle-to-Work Scheme
- Health and Life Insurance
- Pension Scheme
- 25 days of Annual Leave (+ Bank Holidays)
- Office snacks every day
- Friendly, comfortable and informal office environment in Central London
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