Senior Analyst (Investment Risk & Data Science)

Job Title: Senior Analyst, Investment Risk & Data Science

Location: New York, NY (Hybrid - approximately 3 days in office)

Salary: $150-175k + 10% bonus

We are seeking a Senior Analyst, Investment Risk & Data Science to join the investment research function of a well-established asset management firm. This role sits within a small, technically focused team responsible for building analytics, risk insights, and scalable data workflows that support portfolio decision-making across a suite of investment strategies. The ideal candidate combines strong quantitative thinking with hands-on technical skills and the ability to translate complex analysis into clear insights for investment stakeholders. This is a full-time, hybrid position based in New York City. U.S. work authorization is required. No visa sponsorship is available at this time.

Responsibilities

• Build and enhance internal analytics tools and automated workflows to support portfolio risk analysis and investment research initiatives
• Develop dashboards and data visualization solutions to surface insights for portfolio managers and research teams
• Analyze portfolio performance, exposures, and risk characteristics across investment strategies
• Support due diligence efforts on prospective investment strategies through quantitative analysis and data-driven reporting
• Collaborate with investment, research, and leadership stakeholders to translate complex quantitative analysis into actionable insights
• Contribute to the modernization of data infrastructure by improving data pipelines, reporting processes, and scalable analytics systems
  
  

Required Skills & Experience

• 3-6+ years of experience in quantitative analysis, data science, or investment analytics within asset management, financial services, or a related environment
• Proficiency in Python or R, with experience using SQL for data extraction and manipulation
• Experience building dashboards or analytics tools using frameworks such as Shiny, Streamlit, Dash, or similar visualization platforms
• Strong quantitative and analytical foundation with exposure to investment concepts such as portfolio construction, factor analysis, or risk management
• Ability to communicate technical insights clearly to both technical and non-technical stakeholders
  
  

Additional Information

• Role is hybrid in New York City, with an expectation of approximately three days per week in office
• Candidates must be authorized to work in the United States — no visa sponsorship available
• Experience with financial data platforms such as FactSet or Morningstar, progress toward CFA/CAIA, or graduate-level quantitative study is a plus but not required
• For more information or to apply, contact Maggie McLaughlin at mmclaughlin@Talener.com