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Asia Quantitative Strategist, VP/ Associate

AT Morgan Stanley
Morgan Stanley

Asia Quantitative Strategist, VP/ Associate

Hong Kong

About the Firm

Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in 42 countries, the firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

About the Role

An opportunity exists for a Vice President or experienced Associate to join the Asia Pacific Quantitative Equity Research team in Hong Kong or Singapore. The role will involve quantitative analysis of equity markets across the region, operating existing frameworks and analysing emerging themes. The successful candidate will have a curious mindset and a passion for research, as well as an ability to engage with investment managers and internal stakeholders on key findings. Experience with Python and external data vendors (eg, Bloomberg, FactSet) is essential.

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Key Responsibilities
  • Operate existing infrastructure to generate factor returns and other technical features across Asia Pacific and EM equity market
  • Identify, analyse and write reports on market dynamics, with a focus on identifying new trends and/or portfolio risk factors for client
  • Stay current with new research and emerging technologies including LLM/genAI to continuously enhance our quantitative methodologies
  • Develop new models for alpha generation, utilising a mix of proprietary and industry data
  • Engage with a range of institutional investors to share research insights and secure recognition for the team through research polls and surveys
  • Respond to requests for analysis and data from internal and external clients

Qualifications, Skills & Requirements
  • Bachelor's degree or above
  • Have at least 3 years' experience in a quantitative finance or equity strategy role, or equivalent
  • Solid understanding of statistical methods, with machine learning experience an advantage
  • Practical experience with Python and external data vendors (eg, Bloomberg, FactSet)
  • Highly motivated with strong interpersonal and team-oriented skills
  • Quick learner with an ability to work well within timelines
  • Interest in working within a collaborative and globally diverse culture

Shortlisted candidates will be invited to attend a written test and modeling assessment

Client-provided location(s): Hong Kong
Job ID: Morgan-549780899126
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Fitness Subsidies
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • FSA
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Return-to-Work Program
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Leave of Absence
    • Volunteer Time Off
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)