Multi-Asset Solutions, Sr. Associate

Location Designation: Hybrid - 3 days per week 

We are seeking a technically sophisticated and process-oriented investment professional to join the Multi-Asset Solutions team at NYLIM. Reporting to the Head of Trading and Ops, this role sits at the intersection of multi-asset trading oversight, index management, portfolio analytics, and AI-enabled infrastructure development.

The position combines responsibility for daily portfolio implementation and index operations with the ownership and modernization of internal analytical systems. A key focus of the role will be leveraging AI and automation tools to enhance trading workflows, portfolio monitoring, reporting processes, and daily index management, ensuring operational integrity across all multi-asset mandates.

The ideal candidate brings strong programming expertise, database proficiency, operational discipline, and the ability to apply emerging AI technologies to improve investment processes in a controlled institutional environment.

What You’ll Do:

1. Trading Oversight, Index Management & Operations

• Direct daily multi-asset trading oversight across equities, fixed income, ETFs, and derivatives, ensuring seamless execution and settlement.
• Spearhead daily index management, including the monitoring and processing of corporate actions to minimize tracking error and ensure mandate alignment.
• Execute systematic and discretionary rebalancing while proactively managing portfolio exposures, positioning, and cash buffers.
• Maintain operational integrity by documenting rigorous workflows and mitigating execution risks within complex trading and indexing environments.

2. AI-Enabled Infrastructure, Automation & Process Governance

• Design AI-driven solutions to optimize the monitoring of daily corporate actions and automate the detection of index methodology changes.
• Modernize legacy workflows by identifying opportunities to replace manual data entry with intelligent automation and LLM-based tools.
• Collaborate with Tech and Investment teams to build scalable infrastructure that integrates real-time index data with internal trading systems.
• Establish governance frameworks to ensure the responsible and compliant deployment of AI tools within institutional investment processes.

3. Portfolio Analytics & Risk Monitoring

• Maintain proprietary tools for exposure analysis, performance attribution, and the granular monitoring of index-relative risk.
• Analyze the impact of corporate actions on portfolio performance, ensuring all analytical outputs reconcile with formal accounting records.
• Systematize investment logic by translating manual index-tracking processes into structured, automated, and scalable analytical frameworks.
• Generate data-driven insights for internal stakeholders and clients, focusing on implementation efficiency and tracking performance.

4. Database & Data Engineering (Required)

• Own and optimize SQL-based databases specifically designed to house multi-asset holdings, index constituents, and corporate action history.
• Develop robust data pipelines that integrate complex market data feeds with internal portfolio management and trading oversight tools.
• Implement automated validation controls to ensure the resilience, integrity, and accuracy of data used for daily index management.
• Define engineering standards and maintain comprehensive documentation for all database architectures and data governance activities.

What You’ll Bring:

• Education: Bachelor’s degree in a quantitative or financial field (Finance, CS, Engineering, Math, or Economics).
• Professional Experience: 4–7 years in asset management, trading oversight, or portfolio analytics with a focus on institutional operations.
• Technical Expertise: Advanced proficiency in Python and expert-level SQL/database management skills.
• Product Knowledge: Deep understanding of multi-asset instruments (including derivatives) and the mechanics of daily index management and corporate actions.
• Systems Innovation: Proven track record of building, enhancing, or automating analytical systems and operational infrastructure.
• Analytical Tools: Mastery of Excel and a rigorous, process-oriented mindset with extreme attention to detail.
• Communication: Strong interpersonal skills with the ability to clearly articulate technical insights in client-facing environments.

Preferred Skills:

• Emerging Tech: Hands-on experience deploying AI/LLM-based systems or machine learning tools in a production environment.
• System Modernization: Experience transitioning legacy analytical frameworks or modernizing outdated operational workflows.
• Legacy Environments: Familiarity with MATLAB or similar legacy analytical platforms.
• Institutional Context: Background in supporting complex, multi-asset portfolios within a large-scale investment manager.
• Credentials: CFA Charterholder or active progress toward the designation.

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Pay Transparency

Salary Range: $115,000-$164,500 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Please note: This role requires FINRA licensed and/or FINRA Associated Person pre-hire fingerprinting.

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion

At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.​

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

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Job Requisition ID: 93500