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.
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.
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
Undergraduate degree from a leading academic institution in a highly quantitative field (Mathematics, Statistics, Computer Science, Physics or similar), with stronger interest if additional graduate / post-
graduate degree and / or research experience
Advanced knowledge in probability and statistics
Prior experience in data-driven quantitative research will be an advantage
Fluency in IT : object oriented languages (with a preference for C#), statistical / analytics programming languages (with a preference for R and Python) and databases
Open and inquisitive mind, strong interest in research
Strong team work and communication skills
Able to work under pressure, prioritize different tasks and requirements
Fluent English is mandatory