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- Tasks: Analyse large datasets and quantify financial losses for high-profile legal cases.
- Company: Join a top boutique analytics consultancy specialising in commercial disputes.
- Benefits: Enjoy a competitive salary, bonus opportunities, and a vibrant office environment in Central London.
- Why this job: Kickstart your career in a dynamic role that blends data science with real-world impact.
- Qualifications: Ideal for numerically gifted graduates with a passion for analytics and problem-solving.
- Other info: This is an office-based role located near Charing Cross, perfect for those who thrive in collaborative settings.
The predicted salary is between 25000 - 35000 £ per year.
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.
Data Analyst employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with financial and legal data modelling concepts. Understanding the basics of how financial losses are quantified and the role of data in legal disputes will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your statistical analysis skills. Being able to demonstrate proficiency in tools like Excel, R, or Python for data analysis will show that you're ready to tackle the challenges of the role.
✨Tip Number 3
Network with professionals in the analytics and legal sectors. Attend relevant events or join online forums to connect with people who can provide insights into the industry and potentially refer you to opportunities.
✨Tip Number 4
Prepare for case study interviews. Many analytics roles involve problem-solving based on real-world scenarios, so practice analysing datasets and presenting your findings clearly and concisely.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Graduate Data Analyst, especially in the context of financial and legal data modelling. Highlight your analytical skills and any relevant coursework or projects.
Tailor Your CV: Make sure your CV reflects your numerical abilities and any experience with data analysis tools or statistical modelling. Include specific examples of how you've worked with large datasets or solved complex problems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss why you are interested in the intersection of analytics and legal disputes, and how your background makes you a suitable candidate.
Showcase Relevant Skills: Emphasise any technical skills that are relevant to the position, such as proficiency in programming languages (like Python or R), data visualisation tools, or experience with statistical analysis. Be specific about your capabilities.
How to prepare for a job interview at Intellect Group
✨Showcase Your Analytical Skills
As a Data Analyst, your ability to analyse and interpret data is crucial. Be prepared to discuss specific examples from your studies or previous experiences where you successfully used data analysis to solve a problem or draw insights.
✨Understand the Legal Sector
Since this role involves working with legal teams, having a basic understanding of the legal sector and commercial disputes can set you apart. Research common terms and processes in legal analytics to demonstrate your interest and readiness for the role.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and statistical analysis. Brush up on relevant tools and software, such as Excel, SQL, or any programming languages you might have used. Being able to discuss your technical skills confidently will impress your interviewers.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company’s projects, team dynamics, or future challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.