Quantitative Researcher
2 days ago
Quantitative Researcher
YMS Financial Private Limited — Quantitative Trading & Execution Brokerage House
What you'll do
YMS Ventures Pvt. Ltd.
is a high-frequency trading (HFT) and quantitative research firm leveraging advanced mathematical models and technology to trade across global markets.
We are looking for passionate
Quantitative Researchers
who can help us design, test, and deploy data-driven trading strategies in a fast-paced, technology-focused environment.
As a Quantitative Researcher at YMS, you will be responsible for developing and optimizing automated strategies using advanced statistical and computational techniques. You will work closely with developers and traders to translate research insights into executable models and systems.
Roles and responsibilities
The
Quantitative Researcher
role, part of the
Quant Strategy
team and reporting to the
Director – Research & Trading
, focuses on developing and optimizing algorithmic trading strategies using data-driven models and close collaboration with senior researchers.
- Design, test, and implement high-frequency quantitative & trading strategies using market data from multiple exchanges.
- Analyze large-scale financial data to uncover inefficiencies, correlations, and trading opportunities.
- Develop mathematical and statistical models to predict price movements and optimize execution.
- Conduct rigorous backtesting and performance analysis of trading algorithms.
- Collaborate with the engineering team to integrate research models into production systems with low-latency execution.
- Study market microstructure and behavioral patterns to enhance strategy robustness.
- Continuously refine models based on real-time trading feedback and performance metrics.
- Document research methodologies, results, and system performance for internal reviews.
Key Responsibilities
- Bachelor's or Master's degree in
Mathematics, Statistics, Computer Science, Physics, or Quantitative Finance
from a top-tier institution.
- Deep understanding of
statistics, probability, optimization, and time-series analysis.
- Proficiency in
Python, R, C++, or MATLAB
for modeling and data analysis.
- Familiarity with
Linux environments
and working with large datasets.
- Strong foundation in
machine learning and AI-based modeling
techniques.
- Excellent analytical and problem-solving skills with attention to detail.
- Ability to work independently under tight deadlines in a research-driven environment.
Preferred Qualifications
- Prior experience in
HFT, quantitative trading, or financial modeling
.
- Exposure to
tick-level data analysis
, order book dynamics, or risk modeling.
- Experience using
libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.
- Strong mathematical background with experience in
stochastic calculus, econometrics, or statistical inference.
Perks
- Opportunity to work on challenging, high-impact research problems.
- Exposure to cutting-edge modeling, AI, and analytics tools.
- Competitive compensation and performance-based bonuses.
- Collaborative, growth-oriented, and intellectually stimulating environment
Interested candidates are requested to fill out the application form below:
Application Form:
Industry Type:
Analytics / Research / Technology
Department:
Research & Development
Role:
Quantitative Researcher
Employment Type:
Full-Time, Permanent
Education:
Graduate / Postgraduate in Quantitative Field
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