Mudraksh & Mcshaw - Quantitative Researcher

Profile Overview:

- We are seeking a highly driven Associate Quantitative Researcher to join our advanced quantitative research & development team.

- This role offers a unique opportunity to work on data-driven trading strategies, leveraging statistical models and advanced mathematical techniques to unlock insights from financial markets. If you have a passion for quantitative problem-solving and financial markets, this role will allow you to contribute to the next generation of trading algorithms.

https://quantquest.quanttiphy.com/

Key Responsibilities:

- Conduct data analysis and in-depth research on financial instruments to identify potential investment opportunities.

- Collaborate with the team to develop and optimize quantitative models used for trading strategies and market forecasting.

- Monitor and evaluate the performance of existing trading strategies, providing insights for further refinement.

- Contribute to risk management by participating in model stress testing and analyzing potential risk factors.

- Utilize programming languages (e.g., Python, R) to conduct quantitative analysis and statistical modeling.

- Prepare reports and presentations summarizing research findings, model performance, and risk assessments for stakeholders.

Key Qualifications:

- A degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field.

- Conceptual understanding of algorithmic trading.

- Experience: Minimum of 1 year of trading experience in equities, options and futures.

- NISM Series-VIII certification(mandatory)

- Strong analytical and quantitative skills with a focus on data-driven decision making.

- Familiarity with financial markets and a basic understanding of quantitative finance concepts.

- Proficiency in programming languages such as Python or R for data analysis and modeldevelopment.

- Excellent communication and teamwork skills, with the ability to present complex findings clearly.

Preferred Skills:

- Knowledge of statistical and quantitative techniques used in financial modeling.

- Familiarity with data visualization tools (e.g., Tableau, Matplotlib) for presentingresearch insights.

- Experience with financial databases and data sources.

- A proactive, solution-oriented approach to problem-solving in a team setting.

Job Type: Full-time

Benefits:

Health insurance

Experience:

equities and/derivative trading: 1 year (Required)

quant trading: 1 year (Preferred)

License/Certification:

NISM-8 certification (Required)

Work Location: In person