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.