Asset Allocation Analyst
Mumbai, India
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Russell Investments
Weāre a global solutions partner. We manage assets for institutions, advisors and individuals. We're dedicated to improving people's financial security.Russell Investments is a leadingĀ outsourced financialĀ partner and global investment solutions firm providing a wide range of investment capabilities to institutional investors, financial intermediaries, and individual investors around the world. Building on an 89-year legacy of continuous innovation to deliver exceptional value to clients, Russell Investments works every day to improve the financial security of its clients. The firm is āTop 12 Ranked Consultant (2009-2024)ā in P&I survey 2024 with $906 billion in assets under advisement (as of December 31, 2024) and $331.9 billion in assets under management (as of March 31, 2025) for clients in 30 countries. Headquartered in Seattle, Washington in the United States, Russell Investments has offices around the world, including London, New York, Toronto, Sydney, Tokyo, Shanghai ā and has opened a new office in Mumbai, India in June 2023.
Joining the Mumbai office is an incredible opportunity to work closely with global stakeholders to support the technology and infrastructure that drives the investment and trading processes of a globally recognized asset management firm. Be part of the team based out of Goregaon (East) and contribute to the foundation and culture of the firmās growing operations in India.Ā The Mumbai office operates with varying shifts to accommodate time zones around the world.
For more information, please visit https://www.russellinvestments.com.
Job Description:
This role will involve supporting the Asset Allocation and Investment Solutions team in its drive to generate and deliver asset allocation advice for client portfolios globally. The successful candidate will have strong programming and quantitative analysis skills, ability to work with large datasets and basic investment knowledge. There is also a need to be able to communicate with broad project stakeholders.
Years of ExperienceĀ
Suitable candidates would have 3-7 years of programming experience in a financial services or asset management company.Ā
Required qualifications include:
- Bachelorās or Masterās degree in engineering.Ā
- Proficient in Python and SQL. Must be able to pick up C#.
- Proficiency in object-oriented programming.
- 3-7 years of programming experience in financial services or asset management.
- Understanding of investment principles and capital markets.
- Excellent problem-solving capabilities and attention to detail.Ā
- Strong communication skills.
- Ability to work collaboratively in a fast-paced environment across time zones.
Preferred qualifications include:Ā
- Ability to code in C#
- Strong quantitative skill set with the ability to analyze complex data using econometric and/or machine learning tools.
- Familiarity with portfolio construction, factor modeling, risk and return attribution, statistical analysis, and monte carlo simulation.
Special RequirementsĀ
Time zone flexibility to work with colleagues based in Russellās different locations globally.
ResponsibilitiesĀ
- Data management and process development programming support for the asset allocation and investment solutions team.
- Develop tools that allow investment advisors to see the impact of asset allocation under different market environments and tax treatments.
- Run and maintain quantitative models and tools linked to capital market forecasting, portfolio and performance analysis and attribution reporting.
- Conduct research on asset allocation topics.
Core ValuesĀ
- Strong interpersonal, oral, and written communication and collaboration skills with all levels of management.Ā
- Strong organizational skills including the ability to adapt to shifting priorities and meet frequent deadlines.Ā
- Demonstrated proactive approach to problem-solving with strong judgment and decision-making capability.Ā
- Highly resourceful and collaborative team-player, with the ability to also be independently effective.Ā
- Exemplifies our customer-focused, action-oriented, results-driven culture.Ā
- Ability to act with discretion and maintain complete confidentiality.Ā
- Dedicated to the firmās values of non-negotiable integrity, valuing our people, exceeding client expectations, and embracing intellectual curiosity and rigor.Ā
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Data management Engineering Machine Learning Monte Carlo OOP Python Research Security SQL Statistics
Perks/benefits: Career development
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