Description

Who we are

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Your Team

You will join the Hyderabad-based Separately Managed Accounts (SMA) team within Invesco Solutions & Custom Strategies. SMAs are among the fastest-growing segments in asset management, and the team delivers the analytics, data, controls, and reporting capabilities required to support equity and fixed-income SMA strategies at scale. You will collaborate with portfolio managers and colleagues across Performance, Operations, Product, Investment Technology, and business leadership.

Your Role

- Build and enhance scalable datasets, analytics, dashboards, and reporting for SMA performance, after-tax, composite, and tax-lot data.
- Design and automate production workflows, reconciliations, and controls to improve accuracy, efficiency, and scalability.
- Own month-end analytical processes, including exception investigation, results validation, and timely delivery.
- Analyse portfolio, transaction, benchmark, performance, and tax-lot data to identify trends and explain results.
- Partner with investment, operations, product, and technology teams to translate business requirements into production-ready analytical solutions.
- Apply disciplined testing, documentation, code-review, and change-management practices.

The Experience You Bring





- 3+ years of experience in investment management, quantitative analytics, financial services, or a comparable data-intensive environment.
- Strong proficiency in Python and SQL, with experience in relational data modelling and production data pipelines.
- Experience implementing data-quality controls, reconciliations, exception monitoring, and automated workflows.
- Proven ability to investigate complex data issues, communicate findings clearly, and deliver accurately within time-sensitive deadlines.
- Knowledge of SMAs, portfolio accounting, investment performance, tax-managed strategies, equity, or fixed income is preferred.

Academic requirements

- Bachelor’s degree or equivalent practical experience in Computer Science, Mathematics, Statistics, Engineering, Finance, Economics, or another quantitative discipline.

Full Time / Part Time

Full time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

Workplace Model

At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least four days a week, with one day working outside an Invesco office.

Grow Your Career with Us

Build the skills and experiences that help you thrive in a constantly evolving business setting. Our AI-enabled learning platform provides personalized learning opportunities based on your role and interests, while development programs and leadership training help support continuous career growth.

To know more about us:

About Invesco:

About our Culture:

About our D&I; policy:

About our CR program:

Apply for the role @ Invesco Careers:

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