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Culture & Careers


Get Started on a Career in Trading, Technology, or Operations. A career at QuantX Capital means extensive education, frequent collaboration, and constant support while working to power one of the industry’s leading proprietary trading firms.

Working at QuantX Capital requires commitment, dedication, and focus – but it’s about the relationships too. We provide a thoughtful balance by offering impactful networking opportunities, such as complimentary dinners with senior leadership. Friendly competitions, and other team-based outings are additional ways we ensure you’re enjoying yourself while building your career.

Check Open Positions @ QuantX below-

The role of an Operational Risk Analyst involves:

  1. Risk Assessment: Identifying and evaluating operational risks inherent in the organization’s processes, systems, and activities.
  2. Risk Monitoring: Monitoring and analyzing key risk indicators to identify emerging risks and trends.
  3. Risk Mitigation: Developing and implementing strategies to mitigate operational risks, including controls, policies, and procedures.
  4. Incident Management: Responding to and investigating incidents or breaches to minimize their impact and prevent recurrence.
  5. Reporting and Communication: Providing regular reports and updates to senior management and relevant stakeholders on the organization’s operational risk profile.
  6. Regulatory Compliance: Ensuring compliance with relevant laws, regulations, and industry standards related to operational risk management.

To Apply for this Job, submit your most recent Resume with a cover letter to- quantxindia@gmail.com

Role of a Quantitative Analyst:

  1. Quantitative Modeling: Developing mathematical models and algorithms to analyze financial data, price derivatives, value securities, and assess risk. These models often involve complex mathematical and statistical techniques such as stochastic calculus, time series analysis, and optimization methods.
  2. Algorithmic Trading: Designing and implementing algorithmic trading strategies that leverage quantitative models to make automated trading decisions. Quants develop trading algorithms that execute trades based on predefined criteria, such as market conditions, price movements, and risk parameters.
  3. Risk Management: Assessing and managing financial risks using quantitative techniques. Quants develop risk models to measure market risk, credit risk, and operational risk within investment portfolios or trading operations. They provide insights into the potential impact of various risk factors and recommend strategies to mitigate risks effectively.
  4. Derivatives Pricing: Pricing and valuing financial derivatives using mathematical models such as Black-Scholes, Binomial Tree, or Monte Carlo simulation. Quants play a crucial role in valuing complex derivative products, such as options, futures, and swaps, by understanding the underlying dynamics of financial markets.


To Apply for this Job, submit your most recent Resume with a cover letter to- quantxindia@gmail.com

Role of a Quantitative Researcher:

  1. Research Design: Designing research studies and experiments to investigate various aspects of financial markets, including price dynamics, market microstructure, investor behavior, and risk factors. Quant Researchers develop hypotheses and research questions and design methodologies to test them rigorously using historical data or real-time market data.
  2. Data Analysis: Collecting, cleaning, and analyzing large datasets of financial and economic data using statistical techniques and quantitative methods. Quant Researchers use programming languages like Python, R, or MATLAB to process and analyze data, identify patterns, correlations, and anomalies, and derive actionable insights.
  3. Model Development: Developing mathematical models and algorithms to describe and predict the behavior of financial markets and securities. Quant Researchers design models using techniques such as econometrics, time series analysis, machine learning, and Bayesian statistics to capture complex relationships and dynamics observed in financial data.
  4. Strategy Development: Creating and testing quantitative trading strategies based on research findings and insights. Quant Researchers develop trading algorithms and rules that exploit inefficiencies or patterns in financial markets to generate alpha (excess returns) for investment portfolios. They backtest strategies using historical data and refine them to improve performance and reduce risk.
  5. Risk Management: Assessing and managing risks associated with quantitative trading strategies. Quant Researchers develop risk models to measure and monitor market risk, liquidity risk, and execution risk in trading operations. They incorporate risk management techniques such as value-at-risk (VaR), stress testing, and scenario analysis to ensure that trading strategies are robust and resilient to adverse market conditions.
 
To Apply for this Job, submit your most recent Resume with a cover letter to- quantxindia@gmail.com

Your responsibilities will include:

  1. Designing and implementing a high-frequency automated trading system, that trades on multiple exchanges
  2. Building live reporting and administration tools for the trading system
  3. Performance optimization and improving the overall latency of systems, through algorithm research and using cutting-edge tools and techniques
  4. End-to-end ownership of modules, including designing, development, deployment and support
  5. Growing the team through involvement in the regular hiring process and occasional campus recruitments
 
To Apply for this Job, submit your most recent Resume with a cover letter to- quantxindia@gmail.com