Credit Models Quant Analyst - Quanteam

Who we are looking for We are looking for a motivated quantitative professional with hands-on experience in credit and statistical models within financial services. The successful candidate will be intellectually curious, detail-oriented, and comfortable working across model development, assessment, and documentation — with the ability to present technical findings clearly to both technical and non-technical audiences. You will thrive in this role if you bring: • 2 to 5 years of experience in a financial services firm • Prior exposure to statistical models in finance, particularly in a credit or risk context • Experience with Borrower Rating models (highly desirable) • A highly numerate academic background — Maths, Statistics, Engineering, or Computer Science — at MSc level or above Technical competence Candidates should demonstrate strong technical capability across the following areas: Knowledge & expertise • Strong knowledge of statistics and quantitative methods • Understanding of the theory of default modelling and credit risk frameworks • Familiarity with portfolio credit risk models and scenario-based stress testing • Experience performing representativeness and performance monitoring analyses • Understanding of UK and ECB regulatory expectations for model documentation Tools & programming • Proficiency in Python (required) • Ability to work with large datasets and model outputs in a structured, reproducible manner Model documentation • Ability to produce clear, well-structured model documentation for technical and regulatory audiences • Experience documenting models in line with internal governance and external regulatory standards Behavioural competence We look for consultants who combine technical excellence with the professional behaviours that make a real difference in client environments. The following competencies are essential: Communication & stakeholder management • Excellent written and verbal communication skills, with the ability to tailor style and content to different audiences — from technical model owners to senior risk stakeholders • Confident presenting findings and documentation to both internal teams and regulators Analytical thinking & problem solving • Strong analytical mind-set with excellent attention to detail • Ability to assess complex model frameworks and identify gaps in applicability or documentation • Sound judgement and strong decision-making skills, including in ambiguous situations Delivery & work management • Highly motivated and able to work on own initiative • Strong time management and ability to prioritise across multiple workstreams • Able to manage large workloads and tight deadlines, balancing urgent tasks with longer-term deliverables Collaboration & professionalism • A genuine team player with a professional and constructive attitude • Innovative approach to problem-solving, with a willingness to propose and test new approaches Committed to maintaining high standards of accuracy and quality throughout