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[香港]Societe Generale
职位:Graduate Analyst
发布时间:2018-11-07
工作地点:香港
信息来源:grajob
职位类型:全职
职位描述
Societe Generale Graduate Analyst, Quantitative Research and Technology,Hong Kong,31-10-2018
On 2018-11-072018-11-07 By Graduates
Societe Generale Graduate Analyst, Quantitative Research and Technology,Hong Kong,31-10-2018
Job code: 18000XP5
Date of publication: 31-10-2018
Starting date
02-07-2019
Job function
Information Technology
Business unit
Societe Generale Hong Kong Branch
Location
Hong Kong
Job type
Permanent contract
Environment
Present in over 50 countries across Europe, the Americas and Asia. Societe Generale provides corporates, financial institutions, investors and public sector clients with value-added integrated financial solutions.
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Mission
What We OfferOur Graduate Program is a two-year elite program with the following aims:
Provide you with a unique opportunity to kick off your dream career
Build solid foundations for your future growth and development
Give you a chance to contribute to the development and success of the bank
During the two-year program, intensive and comprehensive talent management approach will be adopted to develop your skills and professional expertise:
Structured Training Curriculum
Strong emphasis is put on the value of direct education, with a structured curriculum throughout the two years designed to continuously develop your technical, inter-personal and presentation skills. This will come in the form of classroom training, in-house sharing sessions and e-learning modules.
Relationship-based Learning
This will include coaching, multi-source feedback, Mentor-mentee Scheme, buddy system, opportunities to interact with members of senior management and a range of valuable networking opportunities. You will have regular access to Human Resources Business Partners and business leaders for coaching and advice, while constructive feedback will enable you to measure your performance.
On-the-job Experience
We believe that learning through doing is a vital step to develop your expertise. As such, through our program you will take on functional attachments (rotations) before moving into the long-term job placement that will the best correspond to your competencies and personality.
Career Progression
After successful completion of the two-year rotational program, Graduates will be on track for increased responsibilities and career growth opportunities. They will be promoted and will integrate one specific team which corresponds the best to their profile within the bank.
Program Structure
You will take on two twelve-month rotations firstly in the Front Office Technology team and then in the Quantitative Market-making team
Front Office Technology
As a Front Office Developer, you will be part of the IT team for market-making and will participate in the full lifecycle of software development (from requirement gathering to the implementation)
The team sits in the dealing room and interacts continuously with trading desks
Participate into front office applications development
Study new business requests (gather user requirements, provide clear specifications, etc.)
Design and implement the required changes
Frequent (continuous) delivery of high quality software via Test-Driven Development.
Communicate and work closely with other members & front office users
Quantitative Market-making
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 back tests on statistical market-making strategies with holding horizons from intraday to weeks
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Profile
Your Profile
Final year students or recent graduates of Bachelor or Master Degree from a leading academic institution in a highly quantitative field (Mathematics, Statistics, Computer Science, Data Science, Physics or similar) with excellent academic results and the following qualities:
Good programming skills with modern development languages (Java/C#/Python…) is required
Good Knowledge of rational database & No-SQL (Cassandra, Hadoop, Elastic Search) is a plus
Experience in maintaining/contributing to open source projects will be appreciated
Advanced knowledge in probability and statistics is required
Prior experience in data-driven quantitative research will be an advantage
Knowledge of research (R, SciKit) and machine learning (Tensor flow) framework is a plus
Innovative and passionate about technology
Open and inquisitive mind, strong interest in research
Strong leadership potential and interpersonal skills
Superior analytical and critical-thinking
Self-motivated, mature, and possessing a strong drive for excellence
Strong team work and communication skills
Excellent command of English
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Apply now