Quantitative Analyst
Job in
City Of London, Central London, Greater London, England, UK
Listed on 2025-12-27
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
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 RoleYou’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
- 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
- Experience with machine learning, including neural networks
- Familiarity with Tensor Flow / Keras
- Experience with SQL, git and taking models towards production
- 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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