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Quantitative Analyst

Job in City Of London, Central London, Greater London, England, UK
Listing for: NANOOK ENERGY ADVISORS LLP
Full Time position
Listed on 2025-12-27
Job specializations:
  • Finance & Banking
    Data Scientist, Mathematics
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Mathematics
Job Description & How to Apply Below
Location: City Of London

Quantitative Analyst – Fundamentals Modelling

Nanook is a specialist investment manager applying rigorous quantitative modelling to global energy markets. We are expanding our Quant Fundamentals team and are looking for a Quant Analyst to build models that explain and predict complex real-world systems.

The Role

You’ll join a team of quants working on large-scale models across global Gas and Power markets, using data to quantify relationships, test hypotheses and generate forecasts.

You will :

  • Analyse large, noisy datasets to identify and quantify relationships between variables
  • Build and validate predictive models to explain system behaviour
  • Estimate model parameters and assess uncertainty using appropriate statistical techniques
  • Apply machine learning and data science methods where useful
  • Work closely with analysts and traders to translate models into investment decisions
What We’re Looking For Essential
  • PhD (completed or near completion) in Applied Mathematics, Physics, Statistics, Computer Science or similar
  • Experience building statistical or predictive models from real-world data
  • Strong understanding of probability, inference and uncertainty
  • Experience validating models using out-of-sample testing or similar approaches
  • Programming experience in Python and / or R
  • Comfortable working with large datasets
  • Genuine interest in financial markets and hedge funds
Desirable
  • Experience with machine learning, including neural networks
  • Familiarity with Tensor Flow / Keras
  • Experience with SQL, git and taking models towards production
Why Nanook?
  • Research-driven modelling problems with real commercial impact
  • Collaborative, intellectually rigorous culture
  • Competitive salary and bonus
  • 8% pension, healthcare and life insurance
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