Pace is a prominent brokerage firm in India, with memberships across NSE, BSE, MCX, and NCDEX.

Leveraging our extensive experience in Indian markets, we have established an advanced high-frequency
trading system, driven by a team of industry-leading experts from top HFT firms.

Responsibilities

Develop and implement cutting-edge trading strategies utilizing mathematical models and statistical techniques.
Conduct quantitative research and analysis to identify profitable opportunities in financial markets.
Collaborate with the trading team to optimize existing algorithms and develop new trading models.
Utilize mathematical and statistical tools to analyze market data and assess the performance of trading strategies.
Write efficient, high-performance code in C++ to implement trading algorithms and analytical tools.
Conduct backtesting and simulation studies to evaluate the robustness and effectiveness of trading strategies.

Qualifications

Hold a Computer Science degree from premier institutes.
A high level of proficiency in Python or C++ is a must
Previous experience working with data and/or creating data modeling tools, developing software to
address data processing challenges, or working in a quantitative model development role.
Excellent analytical and problem-solving skills, with a strong background in data structures and algorithms, ability to work in a fast-paced, dynamic environment.
Strong communication skills and ability to work effectively in a collaborative team environment.
Prior experience in high-frequency trading or algorithmic trading research is a plus.

Why should you join us?

Good Peers and a relaxed work environment: While everyone believes in hard work, we like to have fun and keep the working environment light, engaging, positive, and open to new ideas.
Cutting-edge technology: HFT industry drives a lot of innovation in hardware, computer networking, and the fintech domain. Be at the forefront of this evolution while working with us.
Competitive compensation: The HFT industry is well-known for compensating its employees well.
If you’re willing to put in the hard work, the possibilities are endless.

Benefits: Catered Breakfast & Lunch, Well stocked pantry, Group Health Insurance, 4 week annually leaves along with market holiday

Where Algorithms Meet Opportunity

Junior Quantitative Researcher

Network Engineer

Quantitative Researcher

Software Developer

DevOps Engineer

HR Admin