Senior Quantitative & Risk Analytics — Structured Credit (CLOs, ABS, MBS)

Barings; Charlotte (NC); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, Prescription, Dental, Vision

401(k) Plan with Company Match

Fertility Benefits

Job summary

Barings seeks a quantitative professional to support the Quantitative & Risk Analytics group within Portfolio Solutions & Analytics in Charlotte, NC. The role focuses on analytics to aid asset allocation and risk management, with 5+ years in public fixed income and structured products like CLOs, ABS, and MBS.

The ideal candidate will work with multi-asset risk models, communicate risk drivers to stakeholders, and develop new analytics tools alongside portfolio managers.

Qualifications

• Degree in a quantitative discipline (Math, Engineering, CS, Economics).
• 5+ years in public fixed income markets and/or quantitative analytics.
• Experience with CLOs, ABS, and MBS in structured products.
• Strong communication and collaboration across teams.
• Familiarity with buy side market risk platforms.
• Able to explain technical concepts to non-technical audiences.
• Programming in Python, SQL, Matlab, and R.

Responsibilities

• Communicate drivers of risk and performance to stakeholders.
• Develop new risk and analytics tools for investment platforms.
• Conduct research and present findings to senior management.
• Aggregate and translate data to support decision making.
• Participate in strategy meetings with portfolio managers.

Skills

Quantitative analytics

Risk analytics

Communication skills

Curiosity / self-starter

Education

Bachelor in quantitative field

Tools

Python

SQL

Matlab

R

Job description

Barings seeks a quantitative professional to support the Quantitative & Risk Analytics group within Portfolio Solutions & Analytics in Charlotte, NC. The role focuses on analytics to aid asset allocation and risk management, with 5+ years in public fixed income and structured products like CLOs, ABS, and MBS.

The ideal candidate will work with multi-asset risk models, communicate risk drivers to stakeholders, and develop new analytics tools alongside portfolio managers.