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Trainee - Quantitative Investment Strategies - Others - London, United Kingdom

Trainee - Quantitative Investment Strategies - Others - London, United Kingdom

Posted 8 May by eFinancialCareers
Ended
Competitive salary
London , South East England
Permanent, full-time
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Description of the Business Line or Department

The Quantitative Investment Solutions (QIS) department designs, develops and maintains systematic strategies delivered to investors, typically, via indices. The team also focuses on designing and implementing investment solutions that meet specific investment requirements for clients.

Summary of the key purposes of the role
  • Assist the team with quantitative analysis, specifically related to building a better understanding of risks and benefits of systematic strategies in the context of client portfolios and/or specific market risks and themes
  • Work closely with Marketing team to effectively portray quantitative results in marketing material
  • Interact with other members of the broader QIS team as well as Sales teams.

Summary of responsibilities
  • Quantitative analysis linked to SG QIS indices
  • Quantitative analysis linked to client portfolios and exposures
  • Calculations of portfolio backtests in relation to, among others, proxying asset allocation of investors and specific solutions designed to meet client objectives
  • Working with the Marketing team on client presentations that portray complex analysis and solutions in an understandable and simple way. A reader with intermediate quantitative background should be able to digest and appreciate the presentation.
  • Design and implementation of quantitative tools to be used by the team
  • Work with Sales teams to tailor analysis to client requests
  • Participate in internal meetings


Profile required

Competencies
  • The ideal candidate will hold a degree or equivalent in engineering, mathematics, physics or quantitative finance
  • A keen and demonstrable interest in quantitative finance is essential
  • Minimum of 1 year's work experience within a quantitative field advantageous
  • Excellent knowledge of at least one of the following coding languages: Python, R, Matlab, VBA, C++, Java. The role will require use of Python
  • Proficiency in Microsoft Office suite including Excel, PowerPoint
  • Excellent level of written and verbal English
  • Multi-tasking and problem-solving abilities
  • Problem solving
  • Strong eagerness to learn

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.

We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

Reference: 24000CZS
Entity: SG CIB
Starting date: 2024/08/26

Publication date: 2024/05/07

Reference: 52612116

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