Quantitative Analyst

NANOOK ENERGY ADVISORS LLP; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading investment firm in the City of London is seeking a Quantitative Analyst to join their growing Quant Fundamentals team. The role involves building quantitative models to explain and predict complex systems in global energy markets. Ideal candidates will hold a PhD in a relevant field and possess strong programming skills in Python or R. The firm offers a competitive salary, along with benefits including a pension plan and healthcare coverage.

Benefits

Competitive salary and bonus

8% pension

Healthcare

Life insurance

Qualifications

• Completed or near completion PhD 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 and quantify relationships.
• Build and validate predictive models to explain system behaviour.
• Work closely with analysts and traders to translate models into investment decisions.

Skills

Statistical modelling

Machine learning

Programming in Python

Data analysis

Statistical techniques

Education

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

Tools

TensorFlow

Keras

SQL

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