Quantitative Research - M/F VIE Hong Kong
SG Securities (HK) Limited
Hong Kong
8天前

Your environment

SG CIB is the Corporate and Investment Banking arm of the Societe Generale Group. Present in over 50 countries across Europe, the Americas and Asia.

SG CIB provides corporate, financial institutions, investors and public sector clients with value-added integrated financial solutions.

At Societe Generale, you will be joining the Global Markets division (MARK) of SG Corporate and Investment Banking. MARK offers a cross-

asset approach along all its offerings : Research, Investment & Risk Management Solutions, Execution and Prime Services to asset managers, pension funds, companies, private banks, insurance companies, hedge funds, family offices, sovereign funds and distributors worldwide.

As a Quantitative Researcher in the Asia QMM team (quantitative market-making), you will be trained by senior quants to research and test systematic trading strategies.

You will learn how to apply your mathematical / statistical skills to this growing field of financial markets.

Your role

Your main responsibilities and missions will be :

  • Identify, record, clean and validate structured and unstructured datasets as a source of information
  • Research alphas : design, model and test predictive statistical models
  • Work on risk management, risk / reward optimization and risk constraints
  • Develop code of trading models to run backtests on statistical market-making strategies with holding horizons from intraday to weeks
  • The VIE assignment in a nutshell This VIE in Hong Kong is to begin as soon as possible but you need to plan 3 months between your application date and the beginning of your VIE assignment.

    It will last 12 months. The VIE is a specific contract, under Business France’s eligibility criteria, opened to candidates under 28 and from the member states of the European Economic Space.

    For further information, please see .

    Your profile

    You are graduated with a Master degree from Engineering or Business School or University with a specialization in Mathematics, Statistics, Computer Science, Physics or similar.

    Advanced knowledge in probability and statistics

    Prior experience in data-driven quantitative research will be an advantage.

    You are fluent in English.

    You are proficient in Microsoft Office application (Excel, powerpoint).

    Object oriented languages (with a preference for C#) and Statistical / analytics programming languages (with a preference for R and Python) are required.

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