Trainee - Trader Assistant

SGS Société Générale de Surveillance SA; London; On-site; GBP 30,000 - 50,000; Full time

Job summary

An innovative firm is seeking a Trainee to join their Equities & Derivatives department. In this role, you will be responsible for asset optimization and project follow-up, working closely with trading desks to enhance pricing tools and automate processes. This position offers a unique opportunity to engage in quantitative research and contribute to the development of production software. With a commitment to teamwork and innovation, this organization fosters a collaborative environment where your contributions will be valued. If you're eager to make an impact and grow within a dynamic team, this is the perfect opportunity for you.

Qualifications

• Master's degree in relevant fields is essential.
• Proficiency in VBA and Python is required.

Responsibilities

• Monitor and develop pricing and auto hedging tools.
• Perform quantitative research and tool development.

Skills

Analytical Skills

Mathematical Mindset

Initiative

Communication Skills

Teamwork

Education

Master’s degree in Financial Engineering

Master’s degree in Mathematics

Master’s degree in Statistics

Tools

MS Office Suite

VBA

Python

Job description

Description of the Business Line or Department

The Equities & Derivatives department at Societe Generale aims to provide a full set of services to Institutional and Corporate clients that will support their investment and risk management targets. Thanks to market-leading research, engineering and trading, our clients benefit from strategic insights, flow information, competitive pricing and seamless execution. We design solutions for our clients, capitalising on the full spectrum of fixed income and currencies products and services.

Summary of the key purposes of the role

The Trainee position is responsible for asset optimization, upgrading book IT, and project follow-up.

Summary of responsibilities

The Trainee will be responsible for monitoring and developing pricing and auto hedging tools, performing quantitative research and tool development to help trading desks automate their business, back-testing using both production software and alternative tools including VBA and Python, working closely with Sales to analyse the impact of liquidity providers and clients, and developing and improving production software including indicators.

Profile required

• The ideal candidate for this Trainee position should be educated to Master’s degree-level in Financial Engineering, Mathematics, Statistics or similar.
• Excellent level of written and spoken English.
• Proficiency in MS Office suite, VBA and Python.
• Strong analytical skills and a mathematical mindset.
• Ability to develop relationships based on trust and professionalism.
• Ability to work well within a diverse team.
• Ability to take initiative and work autonomously where required.
• Excellent communication skills.
• A good understanding of and ability to work within the Group’s values: Team Spirit, Innovation, Responsibility and Commitment.

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.