Position Category: Fixed Income Sales & Trading
Position Title: Senior Associate, Foreign Exchange Electronic Trading Strategist
Job Level: Senior Associate
Location: USA - NY - New York
Education Required: Refer to Position Description
Morgan Stanley Bank N.A. seeks Senior Associate, Foreign Exchange Electronic Trading Strategist in New York, NY to develop and operate quantitative market making strategies for FX products. Analyze FX markets and formulate prices of FX spots, NDFs, forwards, derivatives, and options for clients. Develop algorithms and computer software to price, hedge, and execute trades using C, C++, Java, and Scala on Linux or Windows OS. Provide liquidity in the market by offering prices to clients for buying and selling purposes. Examine clients' trades and assess their goals to help clients get better execution, access liquidity and achieve their trading goals. Communicate with clients and sales people to explain the technologies and products that Desk Strats and Technology groups are building. Work with bookrunners and traders and help them adjust our inventory management and trading strategy to serve clients better and protect the Firm from losses. Generate reports and presentations for management, risk groups, control groups and controllers to make sure that business is following rules, regulations and firm principles. Build risk management and control tools to monitor business risk. Design computer system prototypes and communicate these prototypes to technology groups, manage the software development and make sure the final product works according the specifications. Assess financial products, including bonds, foreign exchange and interest rate spot products, and derivatives, such as futures, forwards, swaps, options, and swaptions. Create option pricing models and interest rate models (short-rate models). Assess executions on exchanges, over-the-counter markets and interdealer markets. Use SQL and Q to retrieve and organize data from KDB and SQL databases to perform data analysis using Matlab, R, and Excel. Use financial models to calculate risks and prices, and determine alternative scenarios. Find market data using Bloomberg terminal and Reuters. Price illiquid financial products using stochastic calculus and statistical methods. Gather data through Bloomberg API. Utilize numerical methods and machine learning algorithms, including linear regression analysis, principal component analysis, Newton's optimization algorithms, interior point method, linear programming, decision-tree learning Bayesian learning, artificial neural networks, genetic algorithms, reinforcement learning, Microsoft Excel, and shell script.
Ph.D. in Computer Science, Artificial Intelligence, Engineering, or related quantitative field or equivalent, and two (2) years of experience developing algorithms and software to price and execute trades for fixed income financial assets, including bonds, foreign exchange, interest rate spot products and derivatives, and developing quantitative market making strategies on behalf of a global financial services institution. Prior experience must include pricing illiquid financial products using stochastic calculus and statistical methods; developing financial models to calculate price and risk; utilizing machine learning and mathematical optimization methods, including linear regression analysis, principal component analysis, linear programming, Newton's optimization algorithms, interior point method, decision-tree learning, Bayesian learning, artificial neural networks, genetic algorithms, and reinforcement learning; coding with C, C++, Java or Scala programming languages, and Matlab or R scripting languages; working with high frequency data analysis tools, including KDB+/q.
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