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Research & Development Analyst
Russell Investments
posted 14hr ago
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Job Description
Business Unit: Investment Division Reporting To: Director, R&D Shift: EMEA (1:30 pm - 10:30 pm IST) (India) About Russell Investments, Mumbai:
Russell Investments is a leading outsourced financial 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 88-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 has over $1 trillion in assets under advisement (as of December 31, 2023) and $302.7 billion in assets under management (as of March 31, 2024). Headquartered in Seattle, Washington in the United States, Russell Investments has offices around the world, including London, New York, Toronto, Sydney, Tokyo, Shanghai, and Mumbai.
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 firm s growing operations in India. The Mumbai office operates with varying shifts to accommodate time zones around the world.
For more information, please visit https: / / www.russellinvestments.com .
As a Research and Development team member, this role will involve productionalizing and maintenance of the investment and risk models, signals, and analytical platforms across several asset classes that cater to multiple Russell Investments teams. The ideal candidate will have a strong investment knowledge base, coupled with an adept understanding of coding and quantitative analysis.
Years of Experience
Suitable candidates would have 3-5-years of programming (quant modelling)/investment experience.
Qualifications
Bachelors degree in Finance, Economics, Statistics, Computer Science, or a related field.
Solid understanding of investment principles and asset classes.
Proficient in Python and SQL (R or C# a plus)
Knowledge of data visualization and web frameworks (e.g., Django).
Experience with DevOps toolkit (GitLab, Octopus Deploy) is a plus
Strong quantitative skill set with the ability to analyze complex data.
Excellent problem-solving capabilities and high attention to detail.
Ability to work collaboratively in a fast-paced environment.
Strong verbal and written communication skills.
Special Requirements
Occasional weekend support
Responsibilities
- Supporting and developing our Python and SQL research code infrastructure and models.
- Portfolio construction and backtesting research
- Assisting other team members on research projects
- Ad-hoc data analysis: respond to spontaneous requests from stakeholders for specific data insights or reports, present results in a clear and concise manner
- Maintaining and monitoring automated model generation
- Development and maintenance of databases and analytics dashboards to support research efforts
Core Values
- Strong interpersonal, oral, and written communication and collaboration skills with all levels of management
- Strong organizational skills including the ability to adapt to shifting priorities and meet frequent deadlines,
- Demonstrated proactive approach to problem-solving with strong judgment and decision-making capability.
- Highly resourceful and collaborative team-player, with the ability to also be independently effective and exude initiative and a sense of urgency.
- Exemplifies our customer-focused, action-oriented, results-driven culture.
- Forward looking thinker, who actively seeks opportunities, has a desire for continuous learning, and proposes solutions.
- Ability to act with discretion and maintain complete confidentiality.
- Dedicated to the firm s values of non-negotiable integrity, valuing our people, exceeding client expectations, and embracing intellectual curiosity and rigor.
Employment Type: Full Time, Permanent
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Strict (1.30pm - 10.30pm)
Monday to Friday
No travel
Day Shift
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