Fixed Income Quant Analyst

VanEck; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

VanEck is seeking a quantitative research professional to enhance portfolio optimization models and automate reporting workflows within a dynamic fixed income team in New York.

You will work with large datasets, build internal tools, and produce performance analyses to support investment decisions and client communications. A strong advanced degree with 3–5 years of relevant experience is expected.

Qualifications

• Practical knowledge of fixed income markets (Treasuries, corporates, and municipal bonds).
• Experience building data pipelines and working with large structured and unstructured datasets.
• Experience developing internal research tools, dashboards, or automation scripts that improve investment team productivity.
• Excellent communication skills and ability to collaborate cross‑functionally.
• Advanced degree (MS or PhD) in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Computer Science, or related field.

Responsibilities

• Enhance and maintain fixed income portfolio optimization models.
• Produce monthly and quarterly performance reports, including slippage analysis.
• Perform transaction cost analysis and attribution by sector, duration, and security selection.
• Identify opportunities to automate manual investment, analytics, and reporting processes using AI and data engineering tools.
• Assist portfolio managers in evaluating new issue municipal bond offerings, including structure analysis, covenant assessment, and relative value analysis.
• Support portfolio managers in secondary municipal trade execution by submitting bids and offers and negotiating with dealers.

Skills

Fixed income markets knowledge

Data pipelines

Research tools / dashboards

Cross-functional communication

Education

MS/PhD in Quantitative fields

Job description

VanEck is seeking a quantitative research professional to enhance portfolio optimization models and automate reporting workflows within a dynamic fixed income team in New York.

You will work with large datasets, build internal tools, and produce performance analyses to support investment decisions and client communications. A strong advanced degree with 3–5 years of relevant experience is expected.