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.
Global Markets Group is the offshoring arm of Morgan Stanley’s Equity businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, strats to risk management.
We are looking for proactive, self-starting individual to be part of our India team working with HK Financial Engineering 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:
Support sales on the stream usage (we’re not yet at the stage of sales autonomy in pricing)
YODA pricing outside of stream, including new product features for small sizes
Pre-quote analysis on new underlyings (funds, thematics), working with vendors and P2
Stress tests (finding proxy data, explaining stress test metrics)
Marketing material (products backtests and pricing) update
LSDP performance reports (for those that won’t go through the LDSP new portal)
Regular communication with team members in London
Skills required (essential)
2+ years of relevant working experience
Degree with a quantitative discipline (BE, BTech in Computer Science, MS in Maths/Statistics/ FE) from Tier 1 & 2 institutes.
Progress towards CFA would be preferred.
Knowledge of programming languages such as Python, VBA, R or Matlab and ability to work with financial data