Department Profile
From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world's financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets.
Morgan Stanley's Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs.
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Global Markets Group is the offshoring arm of Morgan Stanley's Sales & Trading businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, strats to risk management.
Primary Responsibilities
Delta one trading is one of the biggest risk-taking desks in equities trading. Traders on this desk act as a market-makers (non HFT) and offer various liquidity offerings to clients on a discretionary and systematic basis.
The role is within systematic trading arm of delta one where key aspects of the role combines broad market understanding, knowledge of market impact models, risk models and portfolio construction. We are looking for proactive, self-starting individual to be part of our India team working with EMEA Cash Trading Strats team. This is a challenging role and offering exposure to an interesting, dynamic product group and work environment to build your career in.
Responsibilities for this role would involve:
• Back-testing of various ideas and methodologies to manage long/short equity and futures portfolios.
• Alpha Research
• Building Tools/Apps to analyze and spot anomalies in a complex & multidimensional marketplace.
• Regular communication with team members in London and Paris.
kills required (essential)
• Degree with a quantitative discipline (BE, BTech in Computer Science, MS in Maths/Statistics/ FE) from Tier 1 & 2 institutes.
• Any progress towards CFA would be preferred.
• 4-6 years of relevant working experience in a Tier1 investment bank or buy side firm.
• Strong Python knowledge is a must.
• Must be able to flexibly respond to changes in priorities, be able to communicate results to a less-technical audience, work well in a team and be comfortable in a front office environment.
• Strong attention to detail
• Drive and desire to work in an intense team-oriented environment.
In addition, below knowledge is not critical but useful for the role.
• Barra Risk Model(s)
• Conic Optimization
• KDB database knowledge
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.