AlphaGrep Securities
quantitative trading and investment
QuantitativeResearcher
Neural analysis suggests this role is
optimal for Mid candidates.
“Quantitative Researcher at AlphaGrep Securities. Skills: Quantitative research, Algorithmic trading, Financial modelling, Python. Identify, maintain, and enhance trading strategies. Analyze trading performance”
Industry & Context.
Brilliant problem-solving abilities
What They're Looking For.
Must Have
Bachelors/Masters/PhD in STEM field from top-tier institutes, Programming experience, preferably in C++, Python, 2+ years past industry experience
Nice to Have
Familiarity with machine learning, Experience with data analysis, market research and data modelling
What You'll Do.
and enhance trading strategies
Analyze trading performance
Automate trading strategies
Financial model construction
maintenance and improvement
Collaborate with technology team
Understand electronic trading system
Maintain electronic trading system
Improve electronic trading system
How You'll Work.
Team & Collaboration
Collaborate cross-functionally with the technology team
Full Job Description
About the Company: AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market shares on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges. Responsibilities: Identify, maintain, and enhance trading strategies and business opportunities for our market making Algorithmic trading teams Analyze trading performance and financial time series data with fundamental statistical theories Use systematic and data-driven approach to automate trading strategies Financial model construction, back-testing, maintenance and improvement Collaborate cross-functionally with the technology team to understand, maintain, and improve our electronic trading system Ability to manage risk and detailed knowledge of all risk procedures Qualifications: Bachelors/Masters/PhD in STEM field from top-tier institutes (a must) Familiarity with machine learning (a plus) Experience with data analysis, market research and data modelling (a plus) Brilliant problem-solving abilities Programming experience, preferably in C++, Python (a must) 2+ years past industry experience A passion for new technologies and ideas The ability to manage multiple tasks in a fast-paced environment A working knowledge of Linux/Unix Why You Should Join Us: Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals. Transparent Structure. Our employees know that we value their ideas and contributions. Relaxed Environment. We have a flat organisational structure with frequent activities for all employees such as yearly off-si
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