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Morgan Stanley

MSET QR Counterparty Risk Strats, Manager, Institutional Equity Division

Morgan Stanley is hiring an MSET QR Counterparty Risk Strats, Manager, Institutional Equity Division in Mumbai, India. Level rates it ; you can apply on Morgan Stanley.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Python and Machine learning.
  • Level classifies it as a mid-level role.
  • Level lists 1,200+ other open roles at Morgan Stanley.

AI in this role

Quantitative research strats role applying machine learning and data analysis to counterparty risk metrics and resource optimization.

PythonMachine learning

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 ethic. 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.

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.

The Quantitative Research (QR) Counterparty Risk group has a global footprint across New York, London, and Hong Kong, and works closely with a range of business lines, including Prime Brokerage, Listed Derivatives, OTC Clearing, Institutional Equities, and Fixed Income Trading. In addition to providing ad hoc analysis to support live business decisions, the team works on a wide variety of projects, including enhancing counterparty risk metrics, developing tools for collateral and resource optimization, and applying data analysis and machine learning techniques. We are looking to hire highly talented, creative individuals who are enthusiastic about research and eager to contribute to a leading-edge team in an intellectually stimulating environment.

Primary Responsibilities

This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research Counterparty Risk team.

The expected working hours will be London hours.

The key elements of the role are:

  • Perform regular calibration and performance monitoring tasks on models and ensure timely delivery of high-quality analysis.
  • Help to automate regular calibration and performance monitoring tasks
  • Analyze back testing data to attribute P&L to risk factors and identify data quality or modelling issues.
  • Support the development and prototyping of risk models and risk management techniques under the guidance of senior team members.
  • Contribute to developing the team’s suite of quantitative tools.
  • Analyze historical data to identify trends within the hedge fund industry and produce reports for clients and senior management.
  • Support the development of stress tests for regular reporting and in response to specific market events, such as upcoming elections.

Core Requirements

We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.

  • 3–5 years of experience in the financial sector, with direct practical experience in financial markets
  • Bachelor’s or higher degree in a quantitative discipline; professional qualifications such as CA, CFA, FRM, MMS, or MBA will also be considered
  • Strong practical experience in data analysis, data handling, and mathematical modeling
  • Proficiency in Python and SQL, with experience in automation and streamlining processes
  • Strong analytical and reasoning skills, with the ability to break down complex problems and projects into manageable components
  • Strong written and verbal communication skills, with the ability to present concepts and solutions clearly to diverse audiences

Complementary Skills

  • Understanding of market and counterparty risk methodologies, including stress testing, VaR, and related risk measures.
  • Familiarity with risk management concepts such as initial margin, variation margin, model risk management, and regulatory requirements.

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.

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.

How we rate this

MSET QR Counterparty Risk Strats, Manager, Institutional Equity Division at Morgan Stanley rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

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Skills and AI tools this role asks for

PythonMachine learning

Questions you could be asked

  1. What's a project where you used Python hands-on?
  2. Walk me through how you've used Machine learning in your day-to-day work.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

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  • List these exact terms on your resume: Python and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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