Senior Data Analyst
Role details
Job location
Tech stack
Job description
We're hiring a Senior Data Analyst to operate at the intersection of analytics, risk, strategy and decision systems.
This is a highly technical, high impact role. You'll go beyond dash boards and reporting how we, evaluate decisions, and drive strategy through data.
You will work closely with:
Risk: decision ownership
Data Science: modelling and automation
Analytics Engineering: data foundations
Your role is to ensure decisions are:
- Well-informed
- Measurable
- Continuously improving
Own Risk Measurement & Metric Design
- Define and evolve core risk metrics (approval rates, loss curves, cohort performance, roll
rates, recovery curves, fraud rates)
- Build robust metric definitions and semantic layers
- Design frameworks to track performance against risk appetite and unit economics
- Establish monitoring for early warning signals and leading indicators
Deep-Dive Analytics & Causal Understanding
- Lead complex analyses across credit, fraud, and collections
- Perform root-cause analysis using behavioural and transactional data
- Apply causal thinking to distinguish correlation vs impact
- Break down performance across segments, cohorts, vintages, and decision paths
Experimentation & Impact Measurement
- Design and evaluate A/B tests and quasi-experiments on risk strategies
- Build frameworks to assess incrementality and trade - offs (risk vs growth vs CX)
- Ensure decisions are testable and measurable
- Translate results into clear go/no -go recommendations
Decisioning Insight & Strategy Support
- Inform policy design, thresholds, and interventions
- Analyse decision boundaries and trade - offs (approval vs loss, fraud vs friction)
- Support champion/challenger frameworks
- Provide analytical input into manual and rule -based decisions
Data Modelling & Analytics Engineering Collaboration
- Build and improve scalable data models (DBT)
- Ensure high -quality datasets in Snowflake
- Contribute to feature and dataset design for modelling
- Improve data reliability, lineage, and documentation
BI, Tooling & Self-Serve Analytics
- Build high-performance dashboards (Looker)
- Develop self-serve analytics for Risk and Operations
- Automate monitoring and reporting workflows
- Create scalable analytical products (not one - off analysis)
Collaboration with Data Science
- Partner on model evaluation, validation, and monitoring
- Analyse model performance, drift, and segmentation
- Support back-testing and benchmarking
- Translate model outputs into business impact
Day to day responsibilities...
Requirements
- 5+ years in data analytics, risk analytics, or quantitative roles
- Experience in fintech, lending, or data-driven environments
- Proven impact on business or risk decisions
Technical Skills
- Advanced SQL (complex joins, window functions, optimisation)
- Experience with Snowflake + DBT (or similar)
- BI tools (Looker preferred)
- Python for analysis (pandas, numpy)
- Strong understanding of data modelling principles
Analytical & Statistical Depth
- Strong experimentation experience (A/B testing, quasi-experiments)
- Understanding of causal inference and bias
- Experience with cohorts, time series, and behavioural data
- Ability to reason about trade - offs and optimisation problems
Benefits & conditions
Employee discount, Company pension, Private medical insurance, Casual dress, Work from home, Discounted gym membership, Compensation & Savings:
- Pension scheme.
- Death in Service scheme.
- Income Protection.
- Permanent employees enjoy access to our Share Options Scheme.
- 5% back on in-app purchases.
- £200 for WFH Setup.
Health & Wellbeing:
- Private Medical Insurance including;
- GP consultations (video, telephone or face-to-face).
- Prescribed medication.
- In-patient, day-patient and out-patient care.
- Mental health support.
- Optical, dental & audiological cover.
- Physiotherapy.
- Advanced cancer cover.
- Menopause support.
- Employee Assistance Programme including:
- Unlimited mental health sessions.
- 24/7 remote GP & physiotherapy.
- 24/7 helpline for emotional & practical support.
- Savings & discounts on everyday shopping.
- 1:1 personalised well-being consultations.
- Gym membership discounts.
Family Friendly Policies:
- Enhanced maternity pay.
- Enhanced paternity pay.
- Enhanced adoption pay.
- Enhanced shared parental leave.
Learning & Development:
- Professional Qualifications.
- Professional Memberships.
- Learning Suite for e-courses.
- Internal Training Programmes.
- FCA & Regulatory training.
Workplace Perks:
- Hybrid Working
- Casual dress code.
- Workplace socials.
- Healthy snacks.