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Tower Research Capital India

  • 1,000 - 50,000 employees

Quantitative Trader / Researcher - APAC null

Gurgaon
Develop and deploy algorithmic trading strategies, and be provided with professional development workshops in a collaborative environment.

Opportunity details

Opportunity Type
Graduate Job

Application dates

Minimum requirements

Accepting International Applications
No
Qualifications Accepted
E
Engineering & Mathematics (all other)
Mathematics & Statistics
I
Computer Science (all other)
Data Science
Programming & Software Engineering
S
Sciences (all other)

Hiring criteria

Entry pathway

See details

Working rights

India

  • Indian Citizen
  • Indian Permanent Resident
Read more

Your role

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks talented and experienced Quantitative Traders and Researchers.

As a member of one of Tower’s trading teams, a Quantitative Trader / Researcher will be using Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

  • Designing, implementing and deploying trading algorithms
  • Researching high to mid-frequency alphas
  • Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
  • Creating tools to analyze data for patterns and developing data platforms
  • Contributing to libraries of analytical computations to support market data analysis and trading
  • Developing, augmenting and calibrating exchange simulators

About you

Qualifications

  • A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
  • Experience in quantitative trading is preferred but not a requirement
  • A strong background in mathematics and statistics
  • Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
  • Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
  • Familiarity with signal generation and statistical models
  • Strong programming skills in Python or C++

Benefits

Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivalling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on the quality of life. Benefits include:

  • Competitive salary and discretionary bonuses
  • 5 weeks of paid vacation per year
  • Meals and snacks on a daily basis
  • Medical insurance
  • Gym membership allowance
  • Free events and workshops
  • Donation matching program

Training & development

They prioritize ongoing investment in exceptional trading talent, with a dedicated focus on supporting employee development. Tower offers professional development workshops and cultivates a flexible, engaging, and collaborative atmosphere. Their quantitative trading teams excel in a dynamic, results-driven environment that promotes skill enhancement and teamwork.

Career progression

At Tower Research Capital, employees are supported in reaching their full potential through a robust platform, cutting-edge technology, and organizational backing. They promote a collaborative environment where individuals are encouraged to follow their passions, contribute their insights, and enhance their growth and impact. This approach leads to fulfilling career experiences and improved team performance.

Sources

The following sources were used in researching this page:

  • tower-research.com/open-positions/
  • tower-research.com/careers/
  • tower-research.com/culture/

Hiring criteria

You should have or be completing the following to apply for this opportunity.

Entry pathway
Degree or Certificate
Minimum Level of Study
Bachelor or higher
Study Field
E
Engineering & Mathematics (all other)
Mathematics & Statistics
I
Computer Science (all other)
Data Science
Programming & Software Engineering
S
Sciences (all other)

Work rights

The opportunity is available to applicants in any of the following categories.

country
eligibility

India

India

Indian Citizen

Indian Permanent Resident