Financial Engineering Intern

What is the Financial Engineering Program?

The FE Program exposes new Financial Engineers to the skills required to be successful at Spot. The program combines classroom education and hands-on experience, and you will be matched with a mentor to help guide you along the way. The learning experience does not end there; rather it continues everyday at Spot.

What does a Financial Engineer do at Spot?

As a Financial Engineer, you will work closely with the Trading team to identify and formalize quantitative problems relating to volatility forecast, trading strategies, option valuation and hedging, portfolio risk management, and execution. You will design, develop and implement mathematical models to support Spot’s proprietary trading business and integrate successful solutions into production-quality software components. Our FE’s also partner with the Equity Analysts to translate qualitative insights into quantitative values to assist traders in making evaluations.

Why should you join us?

Spot is a relatively flat organization with a great deal of emphasis on teaching and ongoing career development, with programs to encourage learning new skills. New Financial Engineers will have multiple opportunities to be involved in all areas of our business. As part of the Trading organization, you will be contributing to large-scale projects shortly after joining. Our culture revolves around small teams identifying and solving problems and implementing new technology, new models, and new trades every single day.

What is it like to work at Spot?

It is extremely demanding, and we only seek people who thrive in high-pressure situations with new and different challenges each day. To meet these challenges, we provide a team-focused environment where you will learn from and support each other daily. To be a successful FE, you must be able to work well with others, must be open to new ways of thinking, and must have a genuine passion for the markets.

What skills/background do you need?

We are looking for MS graduates in Financial Engineering/Mathematics and Computational Finance; a PhD in mathematics, physics, economics, engineering, or other quantitative fields can be advantageous. You should have a strong background in stochastic processes, optimization, Monte Carlo simulation, partial differential equations, time series analysis & statistics. A solid theoretical and practical understanding of financial modeling, derivatives valuation, risk management and econometrics is required. As an FE you will need to have a proven ability to program and model using C++, C#/Java, VBA, and R.