Quant Analyst

Nova Stela Ltd

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Performance bonus

Job summary

Nova Stela Ltd in London, UK, is seeking a Quant Analyst to join a commodities trading team. You’ll work on complex data-driven problems, supporting trading and risk decisions in a highly technical, hands-on role.

The ideal candidate has extensive C++ experience with some Python exposure, a strong maths/statistics background, and the ability turn data into actionable strategies in a fast-paced environment.

Qualifications

  • Strong experience in C++ and exposure to Python for data analysis.
  • Background in mathematics or statistics with quantitative methods.
  • Ability to translate data into actionable trading strategies.
  • Comfortable in fast-paced, high-stakes environments.
  • Excellent communication and collaboration skills.

Responsibilities

  • Develop and implement data-driven analytical models for trading decisions.
  • Work with complex data to support risk management and strategies.
  • Collaborate with trading and risk teams in a fast-paced environment.

Skills

C++
Python

Education

Mathematics/Statistics background

Job description

Location: London, UK (Hybrid)
Type: Full‑time
Compensation: Competitive salary + performance bonus

The Role

Our commodities trading client is seeking a Quant Analyst to join their team. You’ll work on complex data-driven problems, supporting trading and risk decisions. The role is highly technical and hands on, requiring sharp analytical skills and a curiosity for markets and algorithms.

Ideal Candidate:
  • Extensive experience in C++ and some exposure to Python.
  • Proven ability to work with complex data and quantitative methods, ideally with experience in mathematics, statistics, or a similar discipline
  • Can turn data and insights into actionable strategies
  • Are comfortable working in fast-paced, high-stakes environments
  • Communicate clearly and collaborate effectively
Why This Role Matters:
  • Exposure to real-world trading strategies and market dynamics
  • Work with a highly capable, technically focused team
  • Make an immediate impact in a data-driven trading environment
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