City of London
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.