Credit Library Engineer, DMFI Quantitative Resources
Schonfeld Strategic Advisors - São Paulo, Brazil
Posted May 26, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Credit Library Engineer, DMFI Quantitative Resources São Paulo, Brazil The Role We are seeking an exceptionally talented individual to join our DMFI Quant team as a quant developer. Our mission is to deliver real-time and high-quality risk and analytical tools to support our Portfolio Management teams in their decision-making process. This role is your chance to be a key contributor to the buildout of our Credit business. What you'll do Working in the QR Library Architecture team you will be in charge of designing and implementing key parts of our cross-asset analytics framework. More specifically, you will: - implement credit pricing and risk models (corp bonds, loans, securitized products) within our shared cross-asset framework - Integrate vendor libraries (Intex, Monis, and similar) into our platform; wrapping, abstracting and ensuring clean interfaces for downstream consumers - Enforce framework consistency; ensure credit analytics adhere to common patterns for calibration, market data, curve dependencies and lifecycle management - Collaborate with Credit Quants to translate model specifications into robust, testable, performant and maintainable code What you'll bring - MSc or PhD in a STEM discipline - At minimum, 5+ years in a compiled language (C++, C#, Rust…) and Python development experience - Expertise in credit products (Securitized, Convertible Bonds, Loans...) - Hands-on experience with Intex, Monis or equivalent credit analytics platforms (Monis, Intex…) - Demonstrated ability to design shared library components; clean APIs, extensibility, separation of concerns - Track record of delivering strategic technical initiatives from start to finish - Excellent communication skills, both
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