Iiqf

The positions will be based out of Mumbai.

It is the discipline that deals with the application of mathematics, statistics, computer programming and physics in solving problems in the areas of high-end finance and investments. The field of Quantitative Finance is relatively new in India. Even experienced risk management professionals who have the theoretical background of the risk management models, find their skills to be inadequate when it comes to implementing the models. For them having a theoretical background is not enough to actually implement these models in practice. This is why we have designed this course tailor-made for imparting these skills. This program is designed for people who want to move into risk management or derivative valuations fields and want to learn to develop applications related to these areas.

Iiqf

Financial Engineering is a multidisciplinary field requiring specialized and dedicated programs. Learn from India's first Quantitative Finance Institute, where courses are taught by leaders from the Industry. It was six months of pure pleasure learning cutting edge, current market relevant Quant and Risk Management practises, philosophies and techniques. Brilliant team of lecturers coming straight from leading market entities in the Investment and Risk space. After completing this course I was able to successfully realise my desire to effect a career change towards Risk Analytics and Risk Modelling, after almost 13 years of experience. It has given me a successful start and also equipped me to consolidate my career as a result of hands on skills acquired. The course offers various insights and allows multiple programming languages. It allows Open book Testing culture which allows students to focus on applying the theory to very real problems. This course overall has provided me with a solid mathematical foundation, enabled me to understand how the theory translates to practical problems and finally to get a great offer in a equity quant research team. I was previously working with a Registered Investment Advisory proprietary firm as a Quantitative Analyst. This program is very relevant for risk professionals with a specialization in OTC valuations. The content of he course is very practical for various asset class derivative valuation models and the codes and resources of the model can be utilized to build a foundation for Derivative Valuation Modelling. Lectures are very interactive with its content being useful for python modelling from scratch and prepare for Valuation and Model Validation quant roles Before joining I was working with one the of broking firm for long time and was looking for change the field.

Time Series Modelling in Python.

Financial Engineering Courses CPFE prepare students for technically sophisticated jobs with financial institutions, financial service providers, financial consulting services and financial software companies. The program is intended for students seeking comprehensive technical knowledge of vanilla and exotic derivatives pricing, hedging, trading and investment strategies and portfolio management in equity, currency, interest rates, credit and mortgages. CPFE is a short-term course that requires seven months of study for the core modules, which makes it attractive to students with strong quantitative skills who are willing to make a quick head start in the investment finance industry. The applied nature of the program implies the fact that there is great emphasis in it to impart the practical implementation skills and techniques that are actually used by practitioners in top financial institutions in the industry, so a considerable part of the course time is devoted to teaching implementation skills along with rigorous theoretical discourse. As an applied discipline, financial institutions look for the following skill sets in the candidates for positions in their Quant teams : - Strong quantitative background - Sound knowledge of the underlying financial theories - Very good implementation skills. This Financial Engineering course is designed specifically to meet these exact needs. This is a course on modelling and applications of mathematics, statistics and econometrics in investment finance.

Financial Engineering Courses CPFE prepare students for technically sophisticated jobs with financial institutions, financial service providers, financial consulting services and financial software companies. The program is intended for students seeking comprehensive technical knowledge of vanilla and exotic derivatives pricing, hedging, trading and investment strategies and portfolio management in equity, currency, interest rates, credit and mortgages. CPFE is a short-term course that requires seven months of study for the core modules, which makes it attractive to students with strong quantitative skills who are willing to make a quick head start in the investment finance industry. The applied nature of the program implies the fact that there is great emphasis in it to impart the practical implementation skills and techniques that are actually used by practitioners in top financial institutions in the industry, so a considerable part of the course time is devoted to teaching implementation skills along with rigorous theoretical discourse. As an applied discipline, financial institutions look for the following skill sets in the candidates for positions in their Quant teams : - Strong quantitative background - Sound knowledge of the underlying financial theories - Very good implementation skills.

Iiqf

Python is one of the most rapidly growing programming language and has become extremely popular with both professional programmers as well as other professionals who don't have prior programming knowledge but want to learn programming for use in their work. Python has a very rich set of libraries and that is rapidly growing. It being an easy to learn language and with the large number of library functions available withing it makes it very easy for people to get their work done with minimal programming effort. Lots of functionalities which are generally beyond the reach and abilities of many professionals coding it other languages are easily accessible in Python. There is hardly any specialized course that teaches Python programming from basics with exclusive focus on writing programs for financial applications. This is why we have designed this course tailor-made for imparting these skills. This course is designed for people who do not have any kind of prior programming background and want to learn programming for developing applications related to finance. The courses starts with learning the basic programming concepts in general and then learning programming using Python with specific focus on programming for high-end investment banking financial applications so that the candidates can relate their learning with their work.

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This is an implementation-oriented course in which practicing Risk Modellers, Investment Bankers and Treasury Professionals teach the latest valuation techniques and risk modeling skills that are used in the industry. Proficiency in both written and spoken English. Enquire Email Whatsapp. Market Risk. So, the course has been conducted since the last 12 years. In fact, at least half of the participants of this program is from non-finance background and they have completed this quite successfully. We develop proprietary algorithms by using mathematical techniques and statistical analysis to identify patterns and behavior of markets. At all other times, please submit an email request. Certificate Program in Algorithmic Trading. Coverage of relevant areas of Machine Learning topics and their practical implementation in Python.

Modern Investment Finance is hugely dependent on the implementations of the theories and techniques of financial engineering.

The program provides students with a comprehensive understanding of derivatives valuation and risk analytics, and prepares them for advanced roles in the financial industry. Post Graduate Program in Algorithmic Trading. Applications are invited for the position of Associate-EEC Trading in an MNC Bank to develop a robust platform for supporting the research and development of statistical arbitrage models. The program covers all the technical and quantitative aspects of investment finance used in top financial institutions. All successful participants receive substantial support from our committed placement support team for opportunities in international banks, hedge funds, consulting firms, IT companies, and other financial organisations. Privacy Policy. This allows students to gain practical, hands-on experience in quantitative finance and risk management, which is highly valued by employers in the financial industry. My experience at IIQF has given me a chance to sharpen my skills in my field of my choice ie algorithmic trading. Yatish Borole Fresher. Further he is a thought leader and a scholar who likes to connect with, influence and inspire his audience through writing, speaking, lecturing and debating and using a world class network of resources that include theories, best practices and subject matter experts..