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Morgan Stanley's Equities Derivatives division is looking for a strategist/quantitative analyst for its Equity Derivative Strat team. Desk strategists are key participants, together with traders and sales people, in the revenue-generating activities of our Sales & Trading Division. Desk strategists sit on the trading desk, are the primary modellers for new products, and team with the traders to deliver innovative ideas using models to analyse risks and opportunities in trading books for complex derivatives.
The candidate will be part of the front office team building infrastructure for the safe monitoring and enhancement of the derivative valuation models. The candidate should have a good understanding of models, great attention to detail and ambition to build a top model control infrastructure. While the tasks are initiated by regulatory changes, it is the team's intention to use these constraints to the desks' advantage, creating tools that can be both used by the trading desk as well as the control functions. This role will also provide the candidate intimate understanding of the models used as well as their practical limitations. This is a great position for a candidate who has built model knowledge in model validation and wants to move to front office. Alternatively, this could be a great opportunity for a candidate who works in technology and wants more exposure to mathematical modelling.
Build cutting edge tools for understanding the risk of (mostly exotics) equity derivatives products.
Review and create documentation for the front office models and correct potential problems.
As part of the front office team, reg strats have ownership of the pricing library. While it is not their primary responsibility, Reg strats can amend and improve the pricing models when required.
Conduct analysis of complex trade to assess the best pricing method.
Strong drive and desire to work in an intense team-oriented environment.
Ability to communicate effectively in both written and verbal English.
An advanced degree in a quantitative subject such as Engineering, Applied Mathematics, Physics, Software Engineering.
Programming skills, in an object oriented language (C++/Java), but for the right candidate generic coding experience (R/Python/Perl) could work.
The salary of this role is competitive.
The closing date for applications is 12/07/2018
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents