About the Company
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management, and investment management services. With offices in more than 41 countries, our firm’s employees serve clients worldwide including corporations, governments, institutions, and individuals. We are committed to maintaining the highest standards of integrity and excellence, offering unparalleled opportunities for professional growth and innovation.
Job Description
We are seeking a highly motivated and skilled Quantitative Analyst to join our dynamic team in Memphis, TN. This role is crucial for developing and implementing sophisticated quantitative models and tools that support our trading, risk management, and investment strategies. The successful candidate will work on challenging problems, contributing directly to key business decisions and helping to drive innovation across our financial products. We are pleased to offer visa sponsorship for exceptional international candidates.
Key Responsibilities
- Develop, implement, and maintain quantitative models for pricing, risk management, and portfolio optimization across various asset classes.
- Perform statistical analysis on large datasets to identify market trends, anomalies, and opportunities.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and translate them into robust quantitative solutions.
- Validate and back-test models to ensure accuracy, stability, and compliance with regulatory requirements.
- Communicate complex quantitative concepts and results clearly to non-technical stakeholders.
- Contribute to the ongoing enhancement of our quantitative libraries and analytical infrastructure.
- Stay abreast of industry best practices, new technologies, and emerging quantitative techniques.
Required Skills
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or equivalent.
- 3+ years of experience in a quantitative role within the financial services industry.
- Strong programming skills in Python (Numpy, Pandas, SciPy) and/or C++.
- Solid understanding of probability theory, stochastic calculus, numerical methods, and statistical modeling.
- Experience with financial instruments, derivatives pricing, and risk models (e.g., VaR, stress testing).
- Proficiency in data analysis and manipulation techniques.
- Excellent problem-solving abilities and analytical thinking.
- Ability to work effectively in a fast-paced, collaborative environment.
Preferred Qualifications
- Experience with large-scale financial datasets and high-performance computing.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing.
- Knowledge of machine learning techniques and their applications in finance.
- Publications in relevant quantitative journals or conference presentations.
- CFA designation or progress towards it.
Perks & Benefits
- Comprehensive health, dental, and vision insurance plans.
- Competitive base salary and performance-based bonuses.
- 401(k) retirement plan with company match.
- Generous paid time off and holidays.
- Access to ongoing professional development and training programs.
- Employee assistance programs and wellness initiatives.
- On-site fitness centers and healthy dining options (where available).
- Opportunities for career advancement within a global leader.
- Visa sponsorship provided for eligible candidates.
How to Apply
Interested candidates are invited to submit their application by clicking the "Apply Now" button below. To ensure your application is considered, please include the following:
- A current resume
- A cover letter outlining your suitability for the role and your motivation for applying.
We review applications on a rolling basis and will contact shortlisted candidates for an interview.
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