#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’ CRB
• Data 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/R
• Experience 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 environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.