FXEM Desk Strategist for FX e-trading
Position Description
Position Description
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Morgan Stanley is seeking a Desk Strategist to join the Foreign Exchange and Emerging Market team (FXEM) with a primary focus of e-trading for FX spot, forward and NDF markets. Desk Strategists add value to the Firm by providing the trading and sales desk with superior analytical skills. Desk Strategists collaborate with the traders on risk analysis, risk reporting, and value added trading strategies.
Responsibilities include:
• Creating pricing models and hedging strategies in the high-frequency space.
• Collaborating with traders and sales to analyze and advise on pricing and risk of algos and strategies.
• Collaborating with traders to analyze and identify revenue positive trading opportunities and minimize hedging costs.
• Finding opportunities to maximize PnL whilst providing a market-making service to clients
• Ability to leverage our flow information to maximize profitability of strategies.
Skills Required
Skills Required
• PhD in a quantitative field or an MSc in quantitative finance or equivalent with a specialization in electronic trading aspects.
• Prior experience working as an FX e-trading quant for a market-making desk at an investment bank.
• Strong skills in mathematics, especially statistics. Knowledge of machine learning techniques or support vector models.
• Strong hands on technology skills are a core requirement: C++, Java/Scala and statistical packages such as Mathematica or Matlab or R.
• Q/KdB experience is highly preferred. Experience in dealing with large data-sets.
• Understanding of the electronic markets, clients, ECNs and regulatory issues. Experience working closely with the spot desk and bookrunners and e-sales. Strong communication collaboration skills are necessary.
• Experience in implementing pricing and hedging strategies for high-frequency trading and ability to calibrate these strategies to large data sets is important.
The salary for this role is competitive.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential.
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