Junior Data Analyst
Junior Data Analyst – Private Credit Intelligence (Forecasting & Simulation Support)
Location: London (Hybrid)
Salary: £40,000 – £45,000 + 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)
- 0–2 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:
- £40,000 – £45,000 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.