Indian Institute of Quantitative Finance - Adjunct Faculty - Computational Finance & Algorithmic Trading

Indian Institute of Quantitative Finance (IIQF) - Adjunct Faculty Positions

Applications are invited for teaching positions in the following departments at IIQF - Computational Finance and Algorithmic Trading

Eligibility Requirements :

Under Graduate Qualification : Statistics / Physics / Mathematics / Engineering / Economics / Econometrics / Computer Science

Post Graduate Qualification : Computer Science / Statistics / Mathematical Finance / Economics / Finance / MBA or PGDBM / Mathematics / Physics / Econometrics

Technical Skills:

Python, REST, AI / ML

Work Experience :

- Minimum 3 years of experience in Banking / Broking / Financial Services / IT industry involved in the design and development of algorithmic trading systems

Or

- Individuals having exceptional expertise in the field of algorithmic trading.

About Us:

The Indian Institute of Quantitative Finance (IIQF) was established more than a decade back as a center of learning in the field of Quantitative Finance and Financial Engineering. Founded by leading finance professionals and entrepreneurs with extensive global experience and expertise in specialized Quantitative Finance and Risk Management domains and having an educational background from the best global institutions.

The institute was founded as an educational institution focusing on promoting education and training in the field of Financial Engineering, Quantitative Finance, Risk Management, Investment Banking, Algorithmic Trading, Derivative Products and several other areas of Modern Finance and Financial Technologies. It is the first institute of it's kind in India that exclusively focuses on these super-specialized fields. IIQF conducts specialized open-house certificate courses and corporate training programs on advanced quantitative finance, risk management, financial technologies, financial modelling and allied areas for corporates and individuals.

IIQF, in partnership with HPC Links, a company specializing in High Performance and Parallel Computing technologies, developed solutions and products in the field of Algorithmic Trading, Derivatives Valuations and Risk Analytics using High-Performance Computing technologies and infrastructure.

It has conducted corporate training programs for banks and financial institutions like Bank of New York Mellon, CitiBank, Socit Gnrale, ING Vysya, LIC, NSE, Bank of India etc. In partnership with Thomson Reuters, it has conducted a very comprehensive course in Financial Engineering.