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Santander Consumer USA Inc. is seeking an experienced PolyPath Market Risk Specialist to support pricing, valuation, and market risk activities in a large banking environment.
You will leverage deep PolyPath expertise, strong Python and Java skills, and solid knowledge of fixed income instruments (MBS, CMO, ABS) to partner with front office, risk, and technology teams. The role emphasizes scalable solutions, risk analytics, and robust risk workflows.
Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference.
Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment.
The ideal candidate will have deep expertise in PolyPath, strong hands‑on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage‑Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large‑scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams.
This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems.
Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows.
Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions.
Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows.
Work with fixed income and structured products, including:
Mortgage‑Backed Securities
Collateralized Mortgage Obligations
Asset‑backed or securitized products
Other structured fixed income instruments
Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java.
Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem.
Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems.
Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics.
Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture.
Improve platform stability through automation, monitoring, alerting, and issue resolution processes.
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To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Bachelor’s Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
Expert‑level knowledge of PolyPath.
Strong experience in market risk, preferably within banking or capital markets.
Strong programming skills in Python and Java.
Solid understanding of fixed income products, pricing, valuation, and risk analytics.
Experience supporting risk models, valuation tools, pricing engines, or market risk platforms.
Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms.
Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams.
Experience working in a large banking, financial services, or regulated financial institution environment.
10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred.
Experience working directly with front office, market risk, finance, model validation, or quantitative teams.
Strong knowledge of structured fixed income products, especially:
MBS
CMO
ABS
Securitized products
Understanding of:
Pricing
Valuation
Sensitivities
Stress testing
VaR
Scenario analysis
Yield curves
Risk factors
Market data
Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines.
Experience supporting real‑time or high‑volume capital markets platforms.
Strong production support, issue management, and root‑cause analysis experience.
Applicants must be legally authorized to work in the United States on a full‑time basis without requiring employer sponsorship to commence employment.
The base pay range for