[征才] HLX 诚征 data scientist/quantitative researcher

楼主: kmd (a小调行板赋格曲)   2017-07-26 13:44:39
职缺: Data Scientist / Quantitative Researcher
公司名称,统编(中华民国以外注册可免填):HLX Technology 注册于香港
公司地址(填写详细至号):台北市忠孝东路五段68号 (国泰置地/信义微风楼上)
职缺能力经历要求:
* Experience working with large datasets, statistics, and mathematical
computing languages (R, Python, Matlab)
* Knowledge of:
* Probability theory, stochastic processes, algorithms, time series
analysis, linear algebra, optimization
* Linux, shell scripts
* Design patterns, statistical programming, data management
* Excellent design, debugging, and problem solving skills (can analyze and
fix problems quickly)
* Ability to prioritize multiple tasks and apply cutting-edge technologies
in a fast-paced environment
* Strong communication skills: can clearly describe technology concepts at
both high level (abstract interface) and low level (step-by-step algorithm)
* Capable of working independently as well as part of a team
* Degree in any of the following: engineering, math/statistics, econometrics,
operations research, computer science, or physics
* Optional:
* Prior experience in the financial industry and familiarity with the
financial markets are not required
* Interest in quantitative trading as demonstrated by coursework, track
record, or work experience is a plus but not required
* Familiarity to research principles, backtesting methods, machine
learning, and data issues is a plus but not required
Job Responsibilities:
* Develop quantitative trading strategies using statistical models to
capture market inefficiencies
* Assist senior strategists in research and management of quantitative
strategies
* Build algorithms, models, and tools to:
* Facilitate quantitative research and production trading
* Analyze/manage large data sets to improve profitability
* Evaluate and optimize trading strategies and signals
* Implement quantitative methodologies for portfolio optimization and risk
management
* Test hypotheses about markets and simulate trading strategies
* Evaluate new methodologies and technologies to improve research and
production trading environments, system performance, and functionalities
* Generate reports to explain quantitative research results to management and
evaluate strategy risk/performance
* Maintain technical documentation of procedures, models, and programming
work
* Operate, troubleshoot, and debug software in a fast-paced environment
员工是否需自备工具? (是/否) :否
薪资(月薪):年薪100万-300万,按工作经历
薪资(保证最低年薪,必填项目): 12个月
年终奖金计算方式:按绩效发放
工时:
每日工作时间: 09:00AM~5:00PM (八小时) 中午休息(12:00~1:00)
每周工作时间: 8*5=40
加班费制度:比照劳基法
工作环境与该职缺团队介绍:
HLX Technology (“HLX”) is a quantitative research and technology firm. HLX
develops advanced mathematical models and innovative technology solutions to
analyze global financial markets. Its founders have extensive experience in
the financial industry and advanced degrees in science, technology,
engineering, and mathematics from the world’s leading universities.
We are currently seeking talented, articulate, highly-motivated candidates
who will contribute to the design, development, and maintenance of automated
trading systems, quantitative research tools, high-performance data management
systems, portfolio management tools, and technical architecture/infrastructure.
The responsibilities of new hires will span a wide variety of programming,
data analysis, statistical and other quantitative projects. These projects
often range in duration and programming environment. This position will have
a high degree of autonomy as well as responsibility in the design, direction,
and approach in these tasks.
We believe in a casual and collaborative atmosphere in which the candidate
can become an integral part of a smaller team. This position allows for a
high degree of freedom as well as the ability to be actively involved in the
solutions to a variety of challenging problems. While the work is rigorous
and demands a high level of commitment, the firm maintains an open,
cooperative and collegial atmosphere.
公司介绍:
http://www.hlxtech.io/
人资或征才联络方式:
(all steps required)
1. Please email your resume to: [email protected]/*
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