Quantitative Research & Analytics

Sr Quantitative Analyst The Sr. Quantitative Analyst uses mathematical or statistical techniques to solve complex issues for the organization including risk management, securities trading, portfolio surveillance, and financial market regulation. This job oversees the identification, planning, and prioritization processes that drive high-level functional concepts from road maps through proof-of-concepts to production. As a subject matter expert in quant research, this job architects and influences the direction of quantitative research for the organization.

This job partners with Portfolio Managers and key stakeholders and conducts research associated with quantitative and qualitative strategies that span global public markets dealing with fixed income investments.

• Spearhead the research and development of innovative ideas to enhance existing fixed income portfolio monitoring and management platform, ensuring a continuous evolution of our quantitative strategies
• Perform both quantitative and qualitative analysis critical to the determination of potential investment opportunities
• Collaborate with Portfolio Managers to enhance all facets of their strategies, risk management, portfolio construction, and performance attribution
• Take a leadership role in managing and enhancing the quantitative investment infrastructure, ensuring scalability, efficiency, and robustness of the systems
• Performs quantitative and qualitative analysis used in the determination of potential investment opportunities
• Coordinates with team members to analyze trading strategies, market conditions, and trading system performance to establish quantitative techniques

University (Degree) Preferred

5+ Years Required; 7+ Years Preferred

8IC Required

• Minimum of 5+ years of experience in financial services or financial services technology industry
• Strong foundation in statistics, linear algebra, and portfolio optimization techniques
• Proficiency in R and Python, with demonstrated ability to leverage generative AI tools within technical workflows
• Preferred: 7+ years of experience in the investment management industry with a focus on fixed income asset classes
• Experience with managing fixed income portfolios, bond trading, or risk management of fixed income portfolios
• Knowledge of fixed income markets, risk analytics, and portfolio risk management concepts
• Experience with Bloomberg Terminal/PORT/AIM/bond indices
• Experience with Exchange Traded Funds (ETFs)

• Artificial Intelligence
• Collaboration
• Financial Risk Management
• Machine Learning
• Mathematical Finance
• Portfolio Management
• Problem Solving
• Programming
• Quantitative Analysis
• Statistics
• Trading Strategies

Anticipated Posting End Date:

Base Pay Range: $149,000/yr - $227,000/yr

Actual base salary may vary based upon, but not limited to, 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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At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools…