Quantitative Trader – Trading Firm Callisto Talent Solutions

The Corporate Institute

Hinoba-an

Sur place

PHP 1 200 000 - 1 800 000

Plein temps

14 jours+

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Résumé du poste

The Corporate Institute is seeking a senior quantitative trader to lead a team developing high‑performance trading systems. You will design and implement profitable strategies across global markets and asset classes, with emphasis on risk management and performance optimization.

Ideal candidates hold advanced degrees in maths/CS, have experience at top trading firms or HFT, and can communicate complex results to senior management. This role requires strong leadership and hands‑on coding ability.

Qualifications

  • Experience with quantitative or statistical arbitrage or machine learning‑based strategies.
  • Excellent Return on Capital.
  • Experience at a top Trading firm or HFT‑based firm.
  • Excellent leadership qualities.
  • B.Tech, MSc, or PhD from a top school in Maths, Physics, Computer Science, etc.
  • Expertise in statistical techniques, and experience researching large datasets.
  • Programming proficiency in C/C++, Java, Python, R, Matlab, etc.
  • Ability to lead a research project from whiteboard to code implementation.
  • Prior experience with algorithmic trading or high‑frequency financial data.
  • Minimum 2–8 years of experience in financial markets.
  • Very strong communication skills.

Responsabilités

  • Drive and passion to lead a team in an open, collaborative startup environment.
  • Profile on the trading desk with experience trading in markets worldwide.
  • Build profitable trading strategies across all markets and asset classes.
  • Risk management and hedging.
  • Analyse market volatility and trading performance.
  • Develop new logic to improve trading performance.
  • Evaluate performance of existing and new strategies.
  • Optimize performance of strategies.
  • Collaborate with developers to build sophisticated trading/risk systems.

Connaissances

Quantitative trading
Arbitrage & ML strategies
Return on capital
Trading at top firms/HFT
Leadership
Education degrees
Statistical techniques
Big data analytics
Programming in C/C++/Java/Python/R/Mat
Team leadership from research to code
Algorithmic trading experience
Financial markets experience
Communication with stakeholders

Formation

B.Tech/ MSc/ PhD in Maths/ Physics/ CS
Top school background

Description du poste

One of our clients is a leading trading firm which strives to excel in electronic trading. We are a team of computer engineers and mathematicians building the most competitive automated trading systems. Technology is core to our business. We are using the cutting edge techniques to find relations and structures prevalent in data. We are building high performance trading platform to provide us competitive edge.

Job Responsibilities
  • Drive and passion to lead a team and to work in an open, creative, and collaborative start-up environment.
  • The profile of the person would be on the trading desk with experience trading in any markets across the world.
  • Building strategies that are consistently profitable and have a proven track record (not just back-tested results) we are open to all markets and all asset classes
  • Risk Management and Hedging.
  • Analysis of market volatility.
  • Analysis of trading performance and development of new logic to improve trading performance.
  • Evaluation of the performance of existing and new trading strategies.
  • Optimization of the performance of strategies.
  • Work closely with developers to manage the development of sophisticated trading/risk systems which includes understanding requirements, developing new functionality, etc.
Essential Qualification and Skills
  • Experience working on quantitative or statistical arbitrage or machine learning-based strategies will be preferred.
  • Excellent Return on Capital
  • Experience at a top Trading firm or HFT-based firm
  • Excellent leadership qualities
  • B.Tech, MSc, or PhD from a top school in Maths, Physics, Computer Science, etc.
  • Expertise in statistical techniques, and experience researching large datasets.
  • Programming proficiency in either C/C++, Java, Python, R, Matlab, etc.
  • Ability to work independently or as a part of a team, and to lead a research project from whiteboard to code implementation.
  • Prior experience with algorithmic trading or familiarity with high-frequency financial data is a Must.
  • Minimum 2-8 years of experience in the financial markets.
  • Very strong communication skills- ability to present ideas and strategies clearly and interact well with both peers as well as senior management.

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.

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