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Societe Generale Corporate and Investment Banking - SGCIB

Trainee Quantitative Research Analyst

London
Posted 1 day ago
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Reference 26000H1F

Responsibilities

  • Build models.
  • Analyse markets.
  • Generate insights.

Are you passionate about quantitative finance, derivatives modelling, data science, and Python development? Do you enjoy solving complex problems using mathematics, statistics, and technology?

We are seeking a Trainee Quantitative Research Analyst to join our award-winning Quant, Index & ETF Research team in London. This is an exciting opportunity to work alongside experienced quantitative researchers, helping to develop systematic investment strategies, enhance quantitative models, and contribute to market-leading research across asset classes.

This role offers outstanding exposure to financial markets and provides an excellent foundation for a long-term career in quantitative research.

Minimum Requirements

To be considered for this opportunity, applicants must demonstrate:

  • Master's degree (or equivalent) in Quantitative Finance or a closely related quantitative discipline
  • Strong academic foundation in Mathematics and/or Statistics at undergraduate level
  • Derivative modelling experience, with a sound understanding of quantitative pricing and financial instruments
  • Strong Python programming skills, with the ability to build, maintain, and enhance quantitative models and analytical tools

What You'll Be Doing

As part of the Quant Research team, you will:

  • Maintain and improve a range of quantitative models used across the team's research activities.
  • Support the development of systematic quantitative investment strategies across multiple asset classes.
  • Assist in producing research publications, presentations, market analysis, and investment insights.
  • Analyse financial and market data to identify trends and opportunities.
  • Work with industry-leading data platforms including Bloomberg and FactSet.
  • Collaborate with stakeholders across Research, Sales, Structuring, and Engineering teams.
  • Assist in the development, testing, and validation of new quantitative models and frameworks.
  • Gain exposure to real-world applications of quantitative research within a global investment banking environment.

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£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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About You

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You are intellectually curious, highly analytical, and excited by the challenge of applying quantitative techniques to financial markets.

You will ideally bring:

  • Exceptional mathematical and statistical skills.
  • Strong problem-solving and analytical capability.
  • Experience in data analysis or data science.
  • Interest in financial markets, portfolio construction, and systematic investing.
  • Ability to work independently and manage multiple priorities.
  • Strong communication skills and attention to detail.

Desirable Experience

  • Research experience gained through academic studies, projects, or internships.
  • Advanced research exposure.
  • Machine learning knowledge and practical application.
  • Experience analysing portfolios or investment strategies.
  • Familiarity with tools such as QuantLib, Bloomberg, FactSet, and LaTeX.

Why Join Us?

You'll be joining a highly regarded quantitative research team that combines rigorous academic thinking with real-world market application.

This is an opportunity to:

  • Learn from experienced quantitative researchers.
  • Work on innovative research projects and investment strategies.
  • Develop highly sought-after quantitative and technical skills.
  • Gain first-hand exposure to global financial markets.
  • Build a strong foundation for future careers in Quant Research, Quant Trading, Quantitative Development, Data Science, or Systematic Investing.

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Ready to launch your career in Quantitative Research?

If you're motivated by mathematics, derivatives, coding, and financial markets—and want to develop your skills within a collaborative and intellectually stimulating environment—we would love to hear from you.

Apply now and join a team where data, research, and innovation drive investment insight.

Why join us

People join for the impact they can have on us. They stay for the impact we have on them. A flatter structure offers visibility and exposure beyond that of our competitors, so you know our names, and we know yours. It's personable, human, and inspires success through passion. By encouraging open mindedness and a willingness to share ideas, we have adapted to market changes and thrived through innovation. Bringing words like “hard work” and “dedication” together with “community” and “respect” has enabled us to work collaboratively and build our future together. We call this Team Spirit and it's what makes us different. It's what makes you different.

Business insight

If you feel you have the required experience and qualifications, then please apply to the SG Resourcing Team, and we will manage your application. At Société Générale, we believe our people are our strength and are core to the success of our business. As such, we search for, recruit and appoint the best available person on the basis of aptitude and ability, regardless of sex, marital or civil partnership status, race, colour, nationality, ethnic or national origins, pregnancy, disability, age, sexual orientation, religion, belief or gender identity.

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Skills

Quantitative Finance
Derivatives Modelling
Data Science
Python
Mathematics
Statistics
Quantitative Pricing
Financial Modelling
Systematic Investment Strategies
Market Analysis
Bloomberg
FactSet
Machine Learning
Portfolio Construction
QuantLib
LaTeX

Location

London, England, United Kingdom

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