Assistant Manager - Quantitative Strategies

EISG | Singapore – Marina One

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Eastspring Investments

Eastspring Investments, part of Prudential plc, is a global asset manager with Asia at its core, offering innovative investment solutions to meet the financial needs of clients.

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Eastspring is a global asset manager with Asia at its core. We create a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Eastspring a place where you can Connect, Grow and Succeed.

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KEY ACCOUNTABILITIES

  • Factor research to support existing and future investment strategies.
  • Research and back-testing of new strategies and improvements to existing strategies, including data validation, data exploration, programming, analysis and presenting results.
  • Specific research projects using AI/machine learning approaches to enhance quantitative alpha or risk factors including data validation, data exploration, programming, and analysis.
  • Participate and contribute to team research projects and present updates and findings in regular internal forums.
  • Contribute to the ongoing development of the QS data and infrastructure platform.
  • Work closely with Quantitative Developers to ensure all tools and data sets used for the research and implementation of strategies are robust, version controlled and consistent with best practice.
  • Support the commercialization of quantitative strategies, including but not limited to contributing to internal and external publications, supporting distribution in selling and marketing of products and capabilities as well as assisting in product development, especially quantitative analysis for RFP.
  • Support CIO on relevant quantitative analysis.

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EXPERIENCE / QUALIFICATIONS

  • Previous relevant experiences in quantitative research are preferred
  • Experiences in fundamental factor research and/or applying AI/machine learning methods for investment research or related fields is an advantage

ATTRIBUTES

  • A strong believer in active quantitative investment approaches with strong demonstrable quantitative analytical skills
  • Strong understanding in major theory in financial markets
  • Solid understanding in accounting and company fundamentals
  • Solid understanding on applied statistics, including distributions, regression, and statistical testing
  • A critical thinker
  • Open to challenge and debate
  • Ability to work well in a small cohesive team
  • Articulate, with an ability to communicate effectively with all stakeholders
  • Attention to detail

EDUCATION / QUALIFICATIONS

  • Strong academic credentials, a postgraduate degree (MSc/PhD) in a quantitative subject (e.g., Engineering, Physics, Mathematics, Statistics) is an advantage
  • CFA is an advantage
  • Strong programming skills. R, Python, and SQL
  • Knowledge of machine learning techniques and experience implementing machine learning algorithms in production is an advantage

 

Eastspring is an equal opportunity employer.  We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Engineering Machine Learning Mathematics PhD Physics Python R Research SQL Statistics Testing

Perks/benefits: Career development Health care

Region: Asia/Pacific
Country: Singapore

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