Senior Quant Data Scientist - Fully

eFinancialCareers
London, United Kingdom
Yesterday
£750 pd

Salary

£750 pd

Job Type
Contract
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
IR35 Status
Outside
Posted
22 Jun 2026 (Yesterday)

Benefits

Remote working Contract role with extension potential Potential for permanent conversion
Senior Data Scientist – Loan Deal Scoring & LLM Workflows - (Remote, Outside IR35)

Overview

We’re partnering with a high-performing applied AI team delivering advanced analytics solutions within financial services. They are seeking aSenior 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 afully remote, outside IR35 contract with strong likelihood of extension (or potential permanent conversion).

Key Responsibilities
  • Develop and deploy ML models forloan/deal scoring (classification, regression, ranking)
  • Analysefinancial, 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
  • DesignLLM-powered workflows for:
    • Document understanding (loan docs, credit memos, financials)
    • Risk factor extraction
    • Deal-level reasoning and recommendations
  • Combine structured ML outputs withLLM-based reasoning to deliver explainable scores
  • Work closely with stakeholders to translatecredit policy into data-driven workflows
  • Support model validation, explainability, and performance evaluation
Requirements
  • Strong experience as aSenior 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 withLLMs (prompting, RAG, embeddings, evaluation)
  • Ability to work acrossstructured + unstructured data
  • Strong communication skills – able to engage directly with stakeholders
Desirable
  • Experience in:
    • Credit risk / lending / underwriting
    • Financial data / loan documentation
    • Deal scoring / probability of default
  • Exposure toagentic workflows / LLM orchestration
  • Experience with production ML or MLOps
Details
  • Contract: 6 months rolling
  • Rate: £750 (Outside IR35)
  • Location: Fully remote
  • Start: ASAP

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