Institutional Equity Division - Vice President, Delta Strat
Job in
London, Greater London, W1B, England, UK
Listed on 2026-10-18
Listing for:
Morgan-Stanley
Full Time
position Listed on 2026-10-18
Job specializations:
-
Finance & Banking
Capital Markets, Financial Advisor / Consultant, Financial Services, Banking & Finance
Job Description & How to Apply Below
#LI-KF1
The Institutional Equity Division (IED) is a global leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. The Firm’s equity Sales & Trading operations provide liquidity, distribute content, and create product solutions to help our clients generate alpha. The Equity Financing Products department acts as a strategic partner to more than 800 top hedge fund managers: executing and clearing trades across asset classes, time zones, and currencies;
providing financing and expertise to help manage risk and benefit from technology; and consults to help launch new funds and connect with them potential investors.
Equity Delta 1 Strats are responsible for automation and use of quantitative techniques across the cash equity business. Based on the trading floor, they work closely with traders to design, build, run and monitor trading engines that realise efficiencies and directly improve P&L.About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
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. We 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.
What will you be doing?
Leading analysis of MS’ CRBData analysis from market data, vendor data to find correlations and market nuances
Trader portfolio analysis
Trader PNL explanation
Automation of quantitative methods and construction of complex data handling techniques which includes data from diverse data sources across the firm (-reduces time/space complexity)
Explore large data handling applications and programming techniques
What we’re looking for:
Exceptional attention to detail and ability to take the initiative.
Significant experience in any mathematical/high-level programming language such as Python/RExperience in the financial sector with direct practical experience in equity markets
Bachelor or Master's Degree in Finance, Economics or Mathematics (Including equivalents of CA, CFA, FRM, MMS, MBA). Engineering degree is preferred
Able to demonstrate practical mastery of data analysis at scale
Strong written and verbal communication skills
Practical expertise in constructing data processing pipelines and constructing enriched datasets from diverse sources - internal as well as external
Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
What you’ll need:
Experience with Linux, shell scripts and automation
Understanding of KDB+ or other databases, such as Sybase or Microsoft SQL Server Strong Python Coding Portfolio Optimization Exposure/knowledge of different equity and equity derivatives products is desirable WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.
At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an…
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