Quantitative Analyst

NANOOK ENERGY ADVISORS LLP; England; On-site; GBP 45,000 - 70,000; Full time

Job summary

A specialist investment management firm in the UK seeks a Quantitative Analyst to join their Quant Fundamentals team, focusing on complex modelling in global energy markets. Candidates should hold a PhD in a relevant field and possess experience in building statistical and predictive models. Programming skills in Python are essential. This role offers a research-driven environment with competitive salary, bonus, and benefits including an 8% pension plan and healthcare.

Benefits

Competitive salary and bonus

8% pension

Healthcare

Life insurance

Qualifications

• PhD (completed or near completion) in a relevant field.
• Experience building statistical or predictive models from real-world data.
• Strong understanding of probability, inference, and uncertainty.

Responsibilities

• Analyse large, noisy datasets to identify relationships between variables.
• Build and validate predictive models to explain system behaviour.
• Estimate model parameters and assess uncertainty using statistical techniques.

Skills

Statistical modelling

Predictive modelling

Data analysis

Machine learning

Programming in Python

Education

PhD in Applied Mathematics, Physics, Statistics, Computer Science or similar

Tools

TensorFlow

Keras

SQL

git

Job description

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 TensorFlow / 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