کارگزاری آگاه
کارگزاری آگاه

Senior Quantitative Researcher

Tehran/Zafar
Full Time
Saturday to Wednesday 8:00 -17:00
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Loan -Health insurance -Learning stipends -Game room -Lunch -Resting space -In-house Medical doctor -Breakfast -Occasional packages and gifts

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1001 - 5000 employees
Finance / Investment
Iranian company dealing with Iranian and foreign customers
1384
Privately held
توضیحات بیشتر

key Requirements

3 years experience in similar position
Master Math / Statistics or Economics
MySQL - Intermediate
Python - Advanced
Git - Intermediate
NumPy - Intermediate
pandas - Intermediate

Job Description

We are seeking a Quantitative Researcher specializing in derivative instruments to join our quantitative team. The successful candidate will combine expertise in quantitative finance, statistical methods, and programming to strengthen our investment decision-making process and develop systematic trading strategies. The role covers research, model development, risk analysis, and the building of analytical tools.

Responsibilities:
1. Quantitative Research and Strategy Development
  • Review academic and applied literature on quantitative finance, derivatives, and trading strategies, and assess the feasibility of implementing new methods in live market conditions.
  • Design, develop, and evaluate quantitative models and trading strategies based on options and other derivative instruments.
  • Conduct backtesting, sensitivity analysis, and robustness testing, accounting for transaction costs, liquidity, and execution constraints.
  • Analyze market data to extract indicators and signals that support investment decisions.

2. Portfolio Risk Analysis and Reporting
  • Calculate, monitor, and analyze risk metrics for derivatives portfolios, tailored to the type of strategy and trading instrument.
  • Analyze market risk, volatility risk, directional risk, liquidity risk, and risk arising from changes in underlying asset prices.
  • Monitor option Greeks (Delta, Gamma, Vega, Theta) and portfolio exposure to market, volatility, and liquidity risks.
  • Calculate and analyze VaR, CVaR, and stress scenarios in line with risk management requirements.

3. Data Analysis and Analytical Tool Development
  • Extract, clean, process, and analyze financial and trading data, and develop dashboards for monitoring performance and risk.
  • Automate calculations and reporting processes.
  • Document models, assumptions, and research results for team review and use.

Qualifications:
1. Specialized Knowledge
  • Master’s degree or higher in financial engineering, quantitative finance, financial mathematics, statistics, or a related field.
  • Strong command of derivatives pricing fundamentals, option valuation models, and Greeks calculations.
  • Strong knowledge of probability, statistics, and time series analysis.
  • Strong knowledge of market structure and contract specifications, as well as options market regulations, trading constraints, and exercise and settlement rules.
  • Familiarity with the principles of backtesting, strategy evaluation, and portfolio risk management.

2. Technical Skills
  • Advanced proficiency in Python for quantitative research (pandas, NumPy, SciPy).
  • Hands-on experience in object-oriented programming (OOP).
  • Hands-on experience with Git version control.
  • Hands-on experience with databases and SQL.
  • Familiarity with data visualization tools (experience building analytical dashboards is an advantage).

3. Professional Skills
  • Ability to read and analyze English-language academic sources and translate research ideas into practical solutions.
  • High attention to detail in data analysis and financial calculations, with rigorous validation of results.
  • Ability to communicate quantitative findings clearly to managers and decision-makers.
  • Strong sense of accountability, analytical thinking, documentation discipline, and teamwork.

4. Preferred Qualifications
  • Hands-on experience analyzing or managing derivatives portfolios.
  • Experience designing and evaluating options or futures trading strategies.
  • Experience building analytical dashboards.

Job Requirements

Gender
Men / Women
Military service
Military service must be done
Education
Master| Math / Statistics Master| Economics
Language
English| Advanced 90%
Software
Python| Advanced NumPy| Intermediate pandas| Intermediate Git| Intermediate MySQL| Intermediate

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