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Research Analyst (Quant)

Noida, Uttar Pradesh, India

Pay
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Work setup
Unconfirmed
Employment
Full-time — employment source
Full-Time/Part-Time Full time Timings
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What you’ll work on

Full posting
  • Lead and support recurring performance reporting for IRG model portfolios, with a focus on producing accurate, timely, and easy-to-use monthly, quarterly, and annual deliverables.

  • Develop reporting for peer group analytics, performance rankings, risk-adjusted rankings, and comparative reporting to support investment oversight and advisor insights.

  • Build and improve reporting and analytics solutions using tools like Power BI, SQL, Python, and Dataiku (including new AI-enabled tools).

From the employer’s posting
Key Responsibilities Lead and support recurring performance reporting for IRG model portfolios, with a focus on producing accurate, timely, and easy-to-use monthly, quarterly, and annual deliverables. Review model portfolio performance through attribution, benchmark comparisons, holdings analysis, portfolio diagnostics, and model evaluation to help identify key performance drivers and trends.
Review model portfolio performance through attribution, benchmark comparisons, holdings analysis, portfolio diagnostics, and model evaluation to help identify key performance drivers and trends. Develop reporting for peer group analytics, performance rankings, risk-adjusted rankings, and comparative reporting to support investment oversight and advisor insights. Create and maintain advisor-facing reporting packages, model fact sheets, investment presentations, and portfolio analytics materials that clearly communicate performance, positioning, and portfolio insights.
Create and maintain advisor-facing reporting packages, model fact sheets, investment presentations, and portfolio analytics materials that clearly communicate performance, positioning, and portfolio insights. Build and improve reporting and analytics solutions using tools like Power BI, SQL, Python, and Dataiku (including new AI-enabled tools). Look for ways to automate and simplify routine reporting so the team works more efficiently and delivers clearer, more transparent insights. Support strong data quality practices across portfolio, holdings, benchmark, and performance data, including reconciliation, validation, documentation, and governance.

What you’ll bring

All qualifications

Core experience

  • 5+ years of relevant experience preferably in the financial services industry.
  • Hands-on experience with Power BI, SQL, Python, Dataiku, or similar analytics tool with the required financial tools
  • Knowledge in investment concepts, practices, procedures, management operations and tools.
  • Experience with investment platforms such as FactSet, Morningstar Direct or Bloomberg, along with visualization tools such as Power BI.
  • Strong communication skills, with the ability to work effectively with U.S.-based colleagues and partners across business units.

Preferred experience

  • Experience analyzing mutual funds, ETFs, SMA portfolios, model portfolios, or managed account products within a wealth management or investment research setting.
  • Ability to work with large datasets, validate information, identify issues, and convert analysis into clear insights for investment, advisor-facing, or business partner reporting.
  • Experience supporting model portfolio programs, managed account platforms, automated reporting workflows, dashboards, or scalable reporting solutions.
Qualification wording
5+ years of relevant experience preferably in the financial services industry.
Hands-on experience with Power BI, SQL, Python, Dataiku, or similar analytics tool with the required financial tools
Knowledge in investment concepts, practices, procedures, management operations and tools.
Experience with investment platforms such as FactSet, Morningstar Direct or Bloomberg, along with visualization tools such as Power BI.
Strong communication skills, with the ability to work effectively with U.S.-based colleagues and partners across business units.
Experience analyzing mutual funds, ETFs, SMA portfolios, model portfolios, or managed account products within a wealth management or investment research setting.
Ability to work with large datasets, validate information, identify issues, and convert analysis into clear insights for investment, advisor-facing, or business partner reporting.
Experience supporting model portfolio programs, managed account platforms, automated reporting workflows, dashboards, or scalable reporting solutions.
Education & alternatives
- Strong analytical skills, with the ability to collect, organize, analyze, and share large amounts of information with accuracy and attention to detail. - Preferred: Master’s degree in business, economics, finance, or a related field. A bachelor’s degree in a quantitative discipline such as mathematics, computer science, or MCA, along with progress toward CFA, may also be considered. - Comfortable working through ambiguity and moving work forward with limited guidance.

Tools in this posting

  • Python
  • SQL
  • Power BI
Source — Tool mentions in context
- Create and maintain advisor-facing reporting packages, model fact sheets, investment presentations, and portfolio analytics materials that clearly communicate performance, positioning, and portfolio insights. - Build and improve reporting and analytics solutions using tools like Power BI, SQL, Python, and Dataiku (including new AI-enabled tools). Look for ways to automate and simplify routine reporting so the team works more efficiently and delivers clearer, more transparent insights. - Support strong data quality practices across portfolio, holdings, benchmark, and performance data, including reconciliation, validation, documentation, and governance.
- Experience analyzing mutual funds, ETFs, SMA portfolios, model portfolios, or managed account products within a wealth management or investment research setting. - Hands-on experience with Power BI, SQL, Python, Dataiku, or similar analytics tool with the required financial tools - Ability to work with large datasets, validate information, identify issues, and convert analysis into clear insights for investment, advisor-facing, or business partner reporting.
- Conceptual and practical understanding of the various performance metrics, such as different money-weighted and time-weighted return methodologies, risk analytics, benchmarking, and asset allocation. - Experience with investment platforms such as FactSet, Morningstar Direct or Bloomberg, along with visualization tools such as Power BI. - Strong communication skills, with the ability to work effectively with U.S.-based colleagues and partners across business units.

About Ameriprise

Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years.

In the employer’s words · Read in context

Job description

View original posting ↗

About Our Company

Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection.

Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP.

Job Description

This role will support the Investment Research Group (IRG) and the RIA platform by delivering clear, reliable performance analytics, portfolio reporting, attribution analysis, model oversight, and automated reporting. The individual will work closely with research analysts, quantitative analysts, and business partners to build scalable reporting solutions, generate meaningful advisor insights, and support data-driven decisions for model portfolios and managed account programs.

Key Responsibilities

  • Lead and support recurring performance reporting for IRG model portfolios, with a focus on producing accurate, timely, and easy-to-use monthly, quarterly, and annual deliverables.
  • Review model portfolio performance through attribution, benchmark comparisons, holdings analysis, portfolio diagnostics, and model evaluation to help identify key performance drivers and trends.
  • Develop reporting for peer group analytics, performance rankings, risk-adjusted rankings, and comparative reporting to support investment oversight and advisor insights.
  • Create and maintain advisor-facing reporting packages, model fact sheets, investment presentations, and portfolio analytics materials that clearly communicate performance, positioning, and portfolio insights.
  • Build and improve reporting and analytics solutions using tools like Power BI, SQL, Python, and Dataiku (including new AI-enabled tools). Look for ways to automate and simplify routine reporting so the team works more efficiently and delivers clearer, more transparent insights.
  • Support strong data quality practices across portfolio, holdings, benchmark, and performance data, including reconciliation, validation, documentation, and governance.
  • Partner with RIA business leaders and investment teams to develop reporting, analytics, and insights that support advisor adoption, portfolio oversight, and business growth objectives.


Required Qualifications

  • 5+ years of relevant experience preferably in the financial services industry.
  • Reporting and analysis experience in a financial services organization (broker/dealer preferred).
  • Knowledge in investment concepts, practices, procedures, management operations and tools.
  • Conceptual and practical understanding of the various performance metrics, such as different money-weighted and time-weighted return methodologies, risk analytics, benchmarking, and asset allocation.
  • Experience with investment platforms such as FactSet, Morningstar Direct or Bloomberg, along with visualization tools such as Power BI.
  • Strong communication skills, with the ability to work effectively with U.S.-based colleagues and partners across business units.
  • Strong analytical skills, with the ability to collect, organize, analyze, and share large amounts of information with accuracy and attention to detail.
  • Preferred: Master’s degree in business, economics, finance, or a related field. A bachelor’s degree in a quantitative discipline such as mathematics, computer science, or MCA, along with progress toward CFA, may also be considered.
  • Comfortable working through ambiguity and moving work forward with limited guidance.


Preferred Qualifications

  • Experience analyzing mutual funds, ETFs, SMA portfolios, model portfolios, or managed account products within a wealth management or investment research setting.
  • Hands-on experience with Power BI, SQL, Python, Dataiku, or similar analytics tool with the required financial tools
  • Ability to work with large datasets, validate information, identify issues, and convert analysis into clear insights for investment, advisor-facing, or business partner reporting.
  • Experience supporting model portfolio programs, managed account platforms, automated reporting workflows, dashboards, or scalable reporting solutions.

In-Office Collaboration

We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Full-Time/Part-Time

Full time

Timings

(2:00p-10:30p)

India Business Unit

AWMPO AWMP&S President's Office

Job Family Group

Business Support & Operations

Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Pay

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Location & working pattern

Noida, Uttar Pradesh, India

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Status in our records
Active
First seen by us
Aug 13, 2026
Recorded sightings
113
Last seen by us
Oct 8, 2026

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