At a Glance
- Tasks: Develop and maintain quantitative models and analytics using Python and C++.
- Company: Join a high-performing quantitative team in the financial markets.
- Benefits: Competitive salary, professional development, and collaborative work environment.
- Other info: Ideal for recent graduates passionate about quantitative finance and software development.
- Why this job: Make an impact in finance with your programming skills and analytical mindset.
- Qualifications: MSc or PhD in a quantitative field and strong Python/C++ skills.
The predicted salary is between 30000 - 40000 £ per year.
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 Ph D 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 Num Py, Pandas, Sci Py, 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/Ph D 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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Graduate Quant Analyst / Quant Developer – Junior Consultant in London employer: Quanteam UK
Quanteam UK is an exceptional employer, offering a dynamic and inclusive work culture that prioritises collaboration and innovation in the heart of Greater London. Employees benefit from extensive professional development opportunities, allowing them to grow their expertise in quantitative finance while working on cutting-edge analytics infrastructure projects. With a strong commitment to diversity, Quanteam fosters an environment where every voice is valued, making it a truly rewarding place to advance your career.
