Full-Time

Quantitative Strategist – Senior Associate/Manager

Structure Rates, Fixed Income Division

Morgan Stanley

Morgan Stanley

10,001+ employees

Global financial services; wealth management

No salary listed

Mumbai, Maharashtra, India

In Person

Category
Quantitative Finance (1)
Required Skills
Python
Java
Risk Management
Scala
C/C++
Requirements
  • 2–5 years of experience in a Desk Strat, Quant, or Front Office Technology role supporting trading desks.
  • Bachelor’s degree in Engineering or Sciences.
  • Master’s degree in Financial Engineering, Computational Engineering, or a related field of study (Math / Physics / Computer Science) is a plus.
  • Solid understanding of interest rate derivatives, including caps, swaptions, and Bermudan options
  • Strong grasp of no-arbitrage pricing principles
  • Working knowledge of PnL attribution, with the ability to interpret and explain daily PnL drivers
  • Ability to discuss pricing and risk behavior of rates products under different market scenarios
  • Candidates should be comfortable discussing pricing intuition, risk sensitivities, and PnL drivers of IR derivatives in detail
  • Programming experience in any language (C++ / Scala / Java / Python); ability to work across systems is more important than language specialization
  • Experience with quantitative methods (probability, stochastic processes, numerical methods)
  • Conceptual understanding of interest rate modeling frameworks (SABR, LMM, short-rate models)
  • Strong communication skills and ability to interact with traders and global teams
  • Ability to work independently in a fast-paced trading environment
  • Strong problem-solving mindset with a focus on automation and scalable solutions
Responsibilities
  • Quantitative support for the Interest Rates Options Trading desk
  • Develop and maintain risk management and valuation models tools used by the desk
  • Improve and maintain market models for interest rate derivatives
  • Maintain and develop pricing algorithm
  • Assess pricing model limitations, and analyze effectiveness of existing risk models
  • Monitor daily profit and loss attribution, ensuring model risks properly capture price volatility
  • Work with control groups to resolve valuation attribution issues and work with IT groups to improve profit and loss attribution
  • Maintain certification of existing valuation and risk models.
  • Scripting and automation of routine tasks ( e.g. model change analysis, ad-hoc risk reports) ( C++ and Scala )
  • Developing tools for pricing, risk management and data-driven insights.
  • Working with controllers and the model risk groups on model documentation and approval.
  • Write and maintain required documentation and testing evidence for the control groups, ensuring model testing and documentation comply with model control standards.
  • Respond to inquiries of the control groups.
  • Facilitate risk management of trading desks portfolio to develop risk analysis algorithms and implement risk management tools, including stress tests and scenario tests.
  • Work with risk management department to enhance risk management practices.
  • Work closely with the trading desk to support existing tools and build the next generation of risk management and valuation tools.
  • Explain evaluation and risk models behavior under various market move scenarios.
  • Communicate to senior traders on key quantitative projects
Desired Qualifications
  • Experience implementing or debugging models in a production environment is highly desirable
  • Master’s degree in Financial Engineering, Computational Engineering, or a related field of study (Math / Physics / Computer Science) is a plus

Morgan Stanley is a global financial services firm offering investment banking, securities, wealth management, and investment management services to individuals, families, institutions, and governments. It helps clients raise, manage, and distribute capital through advisory services, asset management, trading, and financing activities, with revenue from advisory fees, asset management fees, trading commissions, and interest income. The company differentiates itself through its large, worldwide platform that provides a full suite of services across markets and client segments, a focus on client needs and long-term relationships, and a strong emphasis on institutional expertise and capital markets capabilities. Its goal is to help clients achieve their financial objectives by delivering tailored financial solutions and maintaining enduring client partnerships.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1935

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Simplify's Take

What believers are saying

  • Wealth management generated record Q1 2026 revenue and strong pretax margins.[1]
  • Investment banking revenue surged, signaling leverage to a healthier deal environment.[1]
  • Asset-management and M&A expansion can deepen scale and broaden fee-based earnings.[2][5]

What critics are saying

  • Wealth targets face direct comparison with larger rivals like Charles Schwab.[1]
  • E*TRADE conversion weakness would slow advisor inflows and weaken wealth growth.[1][4]
  • Investment-banking revenue remains exposed to cyclical deal-market declines.[1]

What makes Morgan Stanley unique

  • Global platform spans investment banking, wealth management, and investment management.[2][5]
  • E*TRADE funnels self-directed clients into advisors and workplace solutions.[4]
  • Morgan Stanley pairs capital markets expertise with advisory, research, and market-making services.[2][8]

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Mental Health Support

Wellness Program

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