Equity Research, Officer

State Street; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

State Street Investment Management, based in Bangalore, seeks a Senior Research Analyst to advance glide path construction, asset allocation models, and the DC portfolio modelling suite. You will partner with portfolio managers and DC strategists to translate quantitative findings into client-ready narratives and contribute to research initiatives across a globally distributed team.

The role emphasizes strong execution, advanced quantitative skills, and the ability to communicate complex results

Qualifications

• Advanced degree in Finance, Economics, Mathematics, Statistics or a related quantitative discipline.
• 5–7 years of professional and/or academic experience; CFA designation a plus.
• Experience with research and modelling in the context of multi-asset class portfolios; exposure to defined contribution, target date or long-horizon asset allocation research strongly preferred.
• Demonstrated capability in quantitative analysis — forecasting models, portfolio construction, scenario and risk analysis, and simulation across a range of advanced quantitative techniques.
• Strong quantitative modelling, analytical and programming skills (e.g., Python and/or R, SQL, Excel, VBA).
• Familiarity with financial software and data platforms (FactSet, Bloomberg, Reuters)
• Comfortable presenting research findings to investment and client‑facing audiences, and able to represent the team’s research both internally and externally.
• Positive attitude, strong work ethic, and the ability to execute independently while working effectively within a globally distributed team.

Responsibilities

• Rationalise and enhance glide path construction methodology. A current priority is building a custom glide path framework that is responsive to the demographic properties of individual participant pools.
• Continue efforts to build a robust asset allocation framework designed specifically for the ultra-long investment horizons characteristic of the target date fund (TDF) space, including strategic scenario analysis and the construction of long-term uncertainty sets.
• Drive the effort to re-envision our DC portfolio construction and modelling suite of models (PUMA TDF), including model design, validation, maintenance and infrastructure monitoring.
• Provide practical, hands‑on support to portfolio managers in articulating client pitches, translating quantitative research into clear and defensible investment narratives.
• Maintain the suite of analytical tools required to support client pitches and act as a quantitative resource for occasional data mining and ad hoc analysis on behalf of the strategy organisation.

Skills

Python

R

SQL

Excel

VBA

Forecasting

Education

Advanced degree in Finance/Economics/Math/Statistics

Tools

FactSet

Bloomberg

Reuters

Job description

Investment Solutions Group — Senior Research Analyst, Officer

Location: Bangalore, India

About State Street Investment Management

State Street Investment Management (formerly State Street Global Advisors) is the asset management business of State Street Corporation and one of the world’s largest institutional asset managers, with approximately $6.3+ trillion in assets under management. Founded in 1978 and headquartered in Boston, the firm is the fourth-largest asset manager globally and a pioneer in exchange-traded funds, having launched the first US-listed ETF in 1993. We serve a broad spectrum of clients — from institutional and individual investors to plan sponsors and financial advisors — through a leading global platform spanning indexing, ETFs, and active and quantitative strategies.

The Investment Solutions Group (ISG) is the investment team that develops and manages multi-asset strategies for State Street Investment Management, including strategic and tactical asset allocation, glide path design, and outcome-oriented solutions for institutional and retirement clients.

Role Overview

This Bangalore-based position sits within ISG’s Research team and reports to the Head of Strategic Portfolio Construction. The Senior Research Analyst will support the quantitative aspects of our Defined Contribution (DC) business, which represents approximately $300 billion in assets.

The role operates at the intersection of the investment organisation: partnering with portfolio managers and DC strategists on one side, and with the broader research organisation on the other. The successful candidate will execute research projects that improve glide path construction, asset allocation frameworks and modelling infrastructure, while translating those results into materials that support client engagement. Strong written and oral communication skills are therefore critical, as is the ability to present both one’s own research and that of colleagues across internal and external forums.

Key Responsibilities

Research

• Rationalise and enhance glide path construction methodology. A current priority is building a custom glide path framework that is responsive to the demographic properties of individual participant pools.
• Continue efforts to build a robust asset allocation framework designed specifically for the ultra-long investment horizons characteristic of the target date fund (TDF) space, including strategic scenario analysis and the construction of long-term uncertainty sets.
• Drive the effort to re-envision our DC portfolio construction and modelling suite of models (PUMA TDF), including model design, validation, maintenance and infrastructure monitoring.

Partnership with Portfolio Management

• Provide practical, hands‑on support to portfolio managers in articulating client pitches, translating quantitative research into clear and defensible investment narratives.

Partnership with DC Strategy

• Maintain the suite of analytical tools required to support client pitches.
• Act as a quantitative resource for occasional data mining and ad hoc analysis on behalf of the strategy organisation.

Qualifications

• Advanced degree in Finance, Economics, Mathematics, Statistics or a related quantitative discipline.
• 5–7 years of professional and/or academic experience; CFA designation a plus.
• Experience with research and modelling in the context of multi-asset class portfolios; exposure to defined contribution, target date or long-horizon asset allocation research strongly preferred.
• Demonstrated capability in quantitative analysis — forecasting models, portfolio construction, scenario and risk analysis, and simulation across a range of advanced quantitative techniques.
• Strong quantitative modelling, analytical and programming skills (e.g., Python and/or R, SQL, Excel, VBA).
• Familiarity with financial software and data platforms (FactSet, Bloomberg, Reuters)
• Comfortable presenting research findings to investment and client‑facing audiences, and able to represent the team’s research both internally and externally.
• Positive attitude, strong work ethic, and the ability to execute independently while working effectively within a globally distributed team.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work‑life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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Job ID: R-798559