Overview
We’re partnering with a high-performing applied AI team delivering advanced analytics solutions within financial services. They are seeking a Senior Quant Data Scientist to help build next-generation loan deal scoring models combining traditional machine learning, time-series analysis, and LLM-driven workflows.
This is a fully remote, outside IR35 contract with strong likelihood of extension (or potential permanent conversion).
Key Responsibilities
- Develop and deploy ML models for loan/deal scoring (classification, regression, ranking)
- Analyse financial, credit, and time-series data to extract predictive signals
- Build and benchmark models such as:
- Gradient boosting (XGBoost, LightGBM, CatBoost)
- Random Forests
- Logistic / linear regression
- Design LLM-powered workflows for:
- Document understanding (loan docs, credit memos, financials)
- Risk factor extraction
- Deal-level reasoning and recommendations
- Combine structured ML outputs with LLM-based reasoning to deliver explainable scores
- Work closely with stakeholders to translate credit policy into data-driven workflows
- Support model validation, explainability, and performance evaluation
- Strong experience as a Senior Quant Data Scientist
- Deep understanding of:
- Regression, classification, and ranking models
- Time-series analysis & feature engineering
- Hands-on experience with:
- Python (pandas, NumPy, scikit-learn, etc.)
- Gradient boosting frameworks (XGBoost / LightGBM / CatBoost)
- Experience working with LLMs (prompting, RAG, embeddings, evaluation)
- Ability to work across structured unstructured data
- Strong communication skills – able to engage directly with stakeholders
- Experience in:
- Credit risk / lending / underwriting
- Financial data / loan documentation
- Deal scoring / probability of default
- Exposure to agentic workflows / LLM orchestration
- Experience with production ML or MLOps
- Contract: 6 months rolling
- Rate: £750 (Outside IR35)
- Location: Fully remote
- Start: ASAP
