Product Head/Quantitative Analyst - Wealth Management Firm - PhD

Department: Product

Designation: Vice President/ Head of Products

Experience: Minimum 6 Years - 15 Years in Quantitative Analysis

Reporting to: C.I.O

Job Location: Andheri, Mumbai

Job Description:

- Develop models for rating system for STOCKS. Conduct ROI analyses, calculate market share, and provide analysis of referral data and other strategic projects.

- Produce best-in-class ideas and solutions for the business. Macro, systematic and stock specific risk taking in Equities based on constraints of fund mandate

- Create match-back process, efficiently managing critical circulation need to retain response source within growing internet environment.

- Ability to create Quant models on stocks to analyze stocks & create portfolios.

- Deploy tactically a variety of instruments including equity, Derivatives and options.

- Develop and implement Mathematical and MATLAB base tools for trading and risk management.

- Create match-back process, efficiently managing critical circulation need to retain response source within growing internet environment.

- Managing the implementation of the overall product by using internal and external resources

- Identify and implement new business opportunities with a strategic and long-term view

- Liaising with various stakeholders so as to ensure product delivery

- Front End (iOS/Android) app development team, Back End development team, Legal & Compliance

Key Skills Required:

- Specializing in quantitative analysis.

- Specializing in the implementation of statistical and mathematical methods to understand and forecast the financial markets' behavior.

- Deep mathematical understanding, expertise, and experience in programming and trading.

- Worked with Python, Java, C++, and Perl, and tools such as MATLAB.

- Understanding trading principles is an important aspect of being able to develop one's own strategy.

Education Required:

- Bachelor's Degree from any IIT

- Master's or Ph.D. degrees in quantitative disciplines, including mathematics, physics, engineering, and computer science.