Data Analyst

Data Analyst – Private Credit Intelligence (Forecasting & Simulation Support) Location: London (Hybrid) Salary: £45,000 – £55,000 + Benefits (plus meaningful equity participation) Start Date: ASAP About the Opportunity: We’re recruiting on behalf of an ambitious, high-growth organisation building an intelligence platform for private credit — turning large-scale, real-world financial behaviour into forward-looking insight for fintechs and investors. This is a Master’s-level Data Analyst role for candidates with up to 2 years’ experience post-Master’s . You’ll sit close to the core analytics and modelling roadmap—supporting forecasting and simulation work through high-quality datasets, scalable reporting, and reliable pipelines—while also owning key BAU data and reporting responsibilities.

What You’ll Be Doing: Owning BAU analytics and reporting: recurring KPI packs, portfolio/credit performance reporting, trend analysis, and stakeholder updates Building and maintaining clean, analysis-ready datasets from messy real-world sources (portfolio, transaction, performance, behavioural and macro/market inputs) Supporting forecasting/simulation initiatives by: Preparing modelling tables, features, and cohort definitions Producing validation checks, back-testing support, and monitoring metrics Documenting assumptions and ensuring outputs are reproducible Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA) Improving data quality: reconciliation, anomaly detection, root-cause analysis, and automated checks Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented Collaborating with data science/engineering to push reliable datasets into production and reduce manual effort What We’re Looking For: MSc completed in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Physics, Econometrics, OR) 0–3 years professional experience post-Master’s in a data analyst / analytics role (internships/placements welcome in addition) Strong SQL skills and confidence working with relational data and large datasets Strong Python for analysis/automation (pandas, NumPy; good coding hygiene) Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards) Solid understanding of analytics fundamentals: data cleaning, joining/aggregation logic, basic statistics, and QA approaches Comfort working in a fast-paced environment with a mix of BAU and project-based work Clear communication skills and a proactive, process-improvement mindset Full right to work in the UK (visa sponsorship not available) Desirable (Not Essential): Exposure to credit / lending / risk / portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £45,000 – £55,000 salary Hybrid working in London Strong benefits package (details shared during process) Meaningful equity participation High-impact role working with real-world private credit data and a product-led roadmap How to Apply: Please apply with your most up-to-date CV and I’ll be in touch ASAP to arrange an initial call and share further details.