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For Companies At a Glance
- Tasks: Analyse financial data and create reports for high-profile legal cases.
- Company: Join a boutique analytics consultancy focused on commercial disputes.
- Benefits: Competitive salary, bonus potential, and a collaborative office environment in Central London.
- Why this job: Launch your career in a stimulating role with real-world impact and growth opportunities.
- Qualifications: Recent graduates with a 2:1 or above in a quantitative degree and strong Excel skills.
- Other info: Immediate start preferred; interviews begin in early July.
The predicted salary is between 20000 - 28000 £ 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.
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 the specific tools and software mentioned in the job description, particularly Excel. Brush up on your skills with logical functions, pivot tables, and lookups, as these will be crucial for the role.
✨Tip Number 2
Prepare to discuss your experience with data analysis during the interview. Think of examples where you've worked with incomplete or messy datasets and how you approached those challenges.
✨Tip Number 3
Research the company and its role in commercial disputes. Understanding their work and the impact of data analysis in legal contexts will help you articulate why you're a good fit for the team.
✨Tip Number 4
Practice presenting your findings clearly and concisely. Since you'll need to write client-facing reports, being able to communicate complex data insights effectively will set you apart from other candidates.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative degree and any relevant coursework or projects. Emphasise your numerical skills and experience with data analysis tools, especially Excel.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your interest in the legal sector. Mention specific skills that align with the job description, such as your ability to work with incomplete datasets and your attention to detail.
Showcase Relevant Experience: If you have any internships, projects, or coursework related to data analysis, make sure to include them. Highlight any experience with statistical tools like Python or R, even if it's basic.
Prepare for the Interview: Research common data analysis interview questions and practice your responses. Be ready to discuss your analytical approach and how you would handle real-world data challenges, particularly in a legal context.
How to prepare for a job interview at Intellect Group
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis, particularly in relation to financial datasets. Highlight any projects or coursework where you’ve had to analyse complex data and draw conclusions.
✨Excel Proficiency is Key
Since the role requires strong Excel skills, brush up on your knowledge of logical functions, pivot tables, and lookups. Be ready to demonstrate your proficiency during the interview, as practical tests may be included.
✨Prepare for the Case Study
The in-person interview includes a case study, so practice analysing data sets and presenting your findings clearly. Focus on how you would approach real-world scenarios relevant to the legal and financial sectors.
✨Communicate Effectively
You’ll need to write compelling reports, so practice summarising complex information in a clear and concise manner. During the interview, ensure you articulate your thoughts well, especially when discussing your analysis.