Core Strats Library , Senior Associate, Institutional Equity Division

Division: Institutional Equity Derivatives Strats                          

Job Title: Senior Associate – Core Strats Library

Location: Mumbai – Oberoi Commerz III                                     

Job Level: Senior Associate

Company Profile

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 ethics.  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.

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.

Primary Responsibilities

Morgan Stanley's Equities Derivatives division is looking for a Core Strategist for its Equity Derivative Strat Team. Strategists are key participants, together with traders and salespeople, in the revenue-generating activities of our Sales & Trading Division. Core Strategists provide the C++ quant library platform on which new product-specific valuation models are written. They ensure speed, quality, consistency, and timely delivery of valuation models across all equity derivative products.

We are looking for a strategist to expand our platform that automatically catches bugs in our C++ valuation models before they reach production. These valuation models are contained in a large library with dozens of active contributors which we aim to release weekly. To achieve this rapid delivery, we want to expand our use of automated tools to detect common errors early. This platform will use a variety of techniques including:

• Regression testing

• Static analysis

• Test harnesses that mimic various production usages of our library

• Mathematical optimization algorithms for test selection

• Property-based testing with randomized test cases

• Fuzzing

Key Responsibilities

• Choose test subsets which maximize coverage for a given CPU usage budget using coverage reports and mathematical optimization algorithms.

• Collect and report statistics around the number of bugs caught early vs. late.

• Use the collected statistics to identify what new tools or test cases will be most effective.

• Implement the proposed tools or test cases.

• Write test harnesses in Python, Java, or C++.

• Support nightly runs of the entire testing platform.

• Refactor library code to eliminate common classes of bugs.

Skills required (essential)

• At least 2 years of experience in software strong development using C++.

• Bachelor's degree in technical field that uses applied mathematics (ex. Computer Science, Engineering, Mathematics).

• Experience using Python or Java.

• Linux

• Ability to work collaboratively in a team environment.

• Experience working in cross-functional teams, bridging technical & design perspectives.

• Strong communication skills, both written and verbal.

• Drive and desire to work in an intense team-oriented environment.

In addition, knowledge below is not critical but useful for the role.

• Mathematical optimization algorithms.

• Cloud Technologies

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environ