Principal Credit Risk Analyst

TF Bank; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services firm is seeking a Principal Credit Risk Analyst in London. This role requires 6-10 years of experience in lending and emphasizes credit risk analytics, model development, and stakeholder collaboration. Successful candidates will possess strong analytical skills, proficiency in SQL and Python, and the ability to present complex data insights. The position offers competitive salary, professional development opportunities, and a hybrid work environment.

Benefits

Competitive salary and benefits package

Professional development and training opportunities

Flexible working arrangements

Qualifications

• 6-10 years of experience in analytics or lending/credit assessment.
• Previous experience working for an unsecured lender, preferably on Credit Card products.
• Postgraduate qualification in a relevant quantitative field is desirable.

Responsibilities

• Own end-to-end strategies for specific population segments.
• Develop and maintain statistical models and credit risk assessment tools.
• Provide clear, actionable insights to stakeholders.

Skills

Analytical and problem-solving abilities

Proficiency in SQL

Strong programming experience in Python

Understanding of statistical analysis techniques

Experience in predictive modelling

Excellent written and verbal communication skills in English

Team player

Education

Bachelor degree in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering or related quantitative discipline

Tools

Data visualisation tools

Job description

We are seeking a talented Principal Credit Risk Analyst to join our growing Credit Risk Analytics team. This role is specifically designed for professionals with 6-10 years of experience in the lending industry who are looking to develop their career in credit risk analytics and statistical modelling within the banking sector.

Please note: This position is for a Principal Credit Risk Analyst role focused on credit risk assessment and modelling, not financial analysis.

About the Role

As a Principal Credit Risk Analyst, you will contribute to the development, daily management and enhancement of our credit risk analytics capabilities. This is an excellent opportunity for someone with experience in unsecured lending to get wider exposure and larger remit (affordability strategy (including use of Open Banking and other alternative data sources), underwriting scorecards and credit strategy, pricing models and strategies, low and grow strategies, pre-collection strategies, launch of new credit products) whilst working with cutting‑edge statistical models, data‑driven insights and best‑in‑class datasets.

The role focuses on the UK market and requires experience of the UK lending landscape, but you will have the opportunity to work in a pan‑European team and get exposure to credit risk analytics across our international markets including Germany, Austria, Norway, Spain, Italy, and other European markets.

The role is ideal for a very experienced analyst who wants to stay hands‑on while developing their mentoring/supervising and DS/analytical product management skills.

Key Responsibilities

• Data Analysis & Insights: Own end‑to‑end strategies for specific population segments. Collect, analyse and interpret data from multiple sources including internal systems, open banking and Credit Reference Agencies (CRAs) to identify trends, patterns and opportunities that inform credit policy, credit limit and pricing strategies.
• Model Development: Develop and maintain statistical models, including scorecards, ML models and other credit risk assessment tools.
• Stakeholder Collaboration: Provide clear, actionable insights and recommendations to stakeholders across the business, supporting informed decision‑making and business growth.
• Cross‑functional Teamwork: Work collaboratively with colleagues in the decision sciences and analytics team, as well as other departments across different locations.
• Communication & Reporting: Present complex analytical findings to both technical and non‑technical audiences through clear presentations, reports and data visualisations.
• Mentoring: Mentor and supervise junior analysts on model and strategy development projects, and Python model pipeline development.

Essential Requirements

Education & Experience:

• Bachelor degree in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering or related quantitative discipline from a well‑regarded university.
• 6-10 years of experience in analytics, data analysis or lending/credit assessment within the financial services sector.
• Previous experience working for an unsecured lender, preferably on Credit Card products (bank, building society, fintech or similar credit provider).

Technical Skills:

• Strong analytical and problem‑solving abilities with excellent attention to detail.
• Proficiency in SQL for data extraction, manipulation and analysis.
• Strong programming experience in Python (ideally for model development).
• Understanding of statistical analysis techniques and data modelling methodologies.
• Experience in predictive modelling (logistic regression and GBM knowledge at minimum).
• Understanding of machine learning techniques applied to credit risk.

  Professional Skills:

  • Excellent written and verbal communication skills in English.
  • Ability to translate complex data into clear, actionable business insights.
  • Strong presentation skills with experience communicating to diverse audiences.
  • Proven ability to work effectively in fast‑paced environments whilst managing multiple priorities.
  • Team player.

  Desirable Requirements

  • Postgraduate qualification in a relevant quantitative field.
  • Knowledge of credit risk regulations and best practices in the UK market.
  • Experience with data visualisation tools.
  • Experience of full credit card customer journey (from origination to recoveries).
  • Experience with model pipeline maintenance.
  • Experience with model monitoring.
  • Experience in analytics/DS project management.

  What We Offer

  • Competitive salary and benefits package.
  • Opportunity to work with advanced analytics and statistical modelling techniques.
  • Professional development and training opportunities.
  • Collaborative, inclusive working environment.
  • Flexible working arrangements.
  • Career progression opportunities within our growing analytics function.

  Application Requirements

  Please note: We are unable to provide visa sponsorship for this role. Candidates must have the right to work in the UK without requiring sponsorship.

  We are committed to creating an inclusive workplace that reflects the diversity of the communities we serve. We welcome applications from all qualified candidates regardless of age, disability, gender identity, race, religion, sexual orientation or background.

  Department Risk & Decision Analytics Locations London Remote status Hybrid Employment type Full-time