Investment Engineer - Analytics

Overview

We’re looking for a Data Engineer to join our investment technology team and help ensure the accuracy, consistency, and explainability of portfolio performance across our platform.

Our platform was designed to support millions of accounts across custom benchmarks and multi‑sleeve portfolio structures. The systems that power these are sophisticated and deeply integrated into daily after‑tax reporting and trading. This role is ideal for someone who enjoys working at the intersection of data, finance, and scalable systems, and who takes satisfaction in getting to the bottom of numerical discrepancies others can’t explain.

You’ll work closely with our quant and engineering teams to analyze differences between modeled and actual portfolio returns, and conduct performance attribution — helping to identify root causes, validate fixes, and strengthen the robustness of our performance analytics.

• Investigate and reconcile account‑level and benchmark performance data across internal models, benchmark systems, and custodian data.
• Analyze benchmark definitions, blending logic, and drifted allocations to ensure consistency with expected outcomes.
• Build diagnostic scripts in Python and structured queries in SQL to isolate and document root causes of deviations.
• Collaborate with engineers to translate findings into long‑term system updates and validation rules.
• Develop and maintain data‑quality dashboards, audit trails, and investigative documentation.
• Partner with portfolio management, operations, and engineering teams to improve transparency and trust in performance reporting.

• University (Degree) Preferred

• 3+ Years Required; 5+ Years Preferred

7IC

• 1–4 years of experience in investment analytics, portfolio accounting, or data engineering/analytics.

• 5 years of experience in investment analytics, portfolio accounting, or data engineering/analytics.
• Bachelor’s or Master’s degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field.
• Proficiency in both Python and SQL is required.
• Solid understanding of investment performance concepts, including returns, benchmarks, attribution, and reconciliation.
• Strong analytical and problem‑solving skills with exceptional attention to detail.
• Comfortable working in fast‑moving, high‑accountability environments where accuracy and speed both matter.
• Experience with data visualization or workflow automation tools is a plus.

• Performance discrepancies are analyzed and resolved quickly and accurately.
• Root causes are documented and permanently addressed through engineering improvements.
• Reporting data is fully trusted by stakeholders across PM, Ops, and Engineering.
• You become the go‑to expert on performance integrity within a sophisticated, data‑driven investment platform.

Base Pay Range: $151,500/yr - $186,000/yr

Actual base salary may vary based on relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non‑annual sales incentive plans, or other non‑annual incentive plans).

Nuveen is a global investment leader, managing public and private assets for clients around the world and on behalf of TIAA, our parent company and one of the world’s largest institutional investors. We invest in the growth of businesses, real estate, infrastructure and natural capital, providing clients with the reliability, access and foresight unique to our heritage. Our prevailing perspective on the future drives our ambition to innovate and adapt our business to the changing needs of investors — all to pursue lasting performance for our clients, our communities and our global economy.

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