Graduate Quant Analyst / Quant Developer – Junior Consultant

Overview

We are seeking a Graduate Quant Analyst / Quant Developer to join a high-performing quantitative team. This is an excellent opportunity for candidates with a strong academic background in quantitative disciplines and hands‑on experience in Python and/or C++ to work on quantitative modelling, analytics, and software development within a financial markets environment.

Key Responsibilities

• Develop and maintain quantitative analytics, models, and tooling using Python and/or C++.
• Support the design, implementation, and testing of pricing, risk, and data analytics solutions.
• Work closely with quantitative researchers, developers, and business stakeholders to deliver robust solutions.
• Analyse large financial datasets and build scalable data-processing pipelines.
• Contribute to model validation, performance testing, and optimisation initiatives.
• Produce clear technical documentation and communicate findings to both technical and non-technical audiences.

Required Skills & Experience

• MSc or PhD in a highly quantitative discipline such as Quantitative Finance / Financial Engineering / Mathematics / Statistics / Physics / Computer Science / Applied Mathematics
• Strong Python and/or C++ programming skills gained through academic research, internships, projects, or commercial experience.
• Strong understanding of statistics, probability, linear algebra, and numerical methods.
• Experience working with large datasets and quantitative analysis.
• Familiarity with software engineering best practices, including version control (Git) and testing.
• Excellent analytical and problem-solving skills.
• Strong communication skills and ability to work within a collaborative team environment.

Desirable

• Knowledge of derivatives, pricing models, risk analytics, or financial markets.
• Experience with libraries such as NumPy, Pandas, SciPy, or Boost.
• Exposure to machine learning, optimisation techniques, or stochastic modelling.
• Prior internship or research experience within quantitative finance, banking, asset management, or trading environments.

Ideal Candidate

• Recent MSc/PhD graduate or candidate with up to 2 years of experience.
• Strong academic record from a leading university.
• Demonstrable passion for quantitative finance, modelling, and software development.
• Comfortable working in a fast-paced, highly analytical environment.

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