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Front Office Quantitative Analytics (Latin America Rates & FX) - Associate / Vice President
Banking Financial Services
💰 Salary Not shared
📊 Market 4,500 EUR–8,500 EUR/mo (54,000 EUR–102,000 EUR/yr)
About the Company
Front Office Quantitative Analytics (Latin America Rates & FX) - Associate / Vice President Country: United States of America It Starts Here: 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. If you are interested in exploring the possibilities We Want to Talk to You The Difference You Make: We are seeking a talented and motivated Front Office Quantitative Analyst to join our New York Quant team supporting the Latin America Rates and FX business. This role sits at the intersection of quantitative research, technology, and trading, with responsibility for developing, implementing, and maintaining pricing, risk, and market analytics for linear interest rate and foreign exchange products across local and offshore Latin American markets. As part of a global Quant team, you will contribute to the build-out of a modern quantitative framework, working on next-generation pricing libraries while supporting and enhancing existing production systems. This is a unique opportunity to help shape a scalable, high-performance quantitative ecosystem while partner
Responsibilities
- ● Develop, enhance, and maintain pricing and risk analytics for linear interest rate and FX products, including interest rate swaps, cross-currency swaps, FX forwards/NDFs, sovereign bonds, repos, and money market instruments.
- ● Design and enhance multi-curve construction frameworks for discounting, forwarding, collateral, and cross-currency basis across developed and Latin American markets.
- ● Develop quantitative models and market data infrastructure supporting local and offshore Latin American markets, including BRL, MXN, CLP, COP, PEN, and other regional currencies as applicable.
- ● Contribute to the development of the firm's next-generation quantitative library in Rust and its Python APIs for front-office applications.
- ● Maintain and enhance existing C++ pricing libraries while driving the migration toward modern, scalable architectures.
- ● Design and extend APIs that enable efficient integration across pricing, risk, and trading platforms.
- ● Develop pricing, risk management, and market-making tools used directly by Sales and Trading in daily decision-making.
- ● Incorporate FX dynamics including funding, collateral, cross-currency basis, offshore liquidity, and local market conventions into pricing and risk analytics.
- ● Optimize numerical methods and improve the performance, robustness, scalability, and reliability of pricing and risk calculations.
- ● Investigate pricing and risk discrepancies, perform root-cause analysis, and deliver robust solutions within business timelines.
- ● Partner closely with traders and structurers to develop new pricing methodologies, improve risk analytics, and support new product initiatives.
- ● Contribute to testing frameworks, model validation, production monitoring, and quantitative governance standards.
- ● Document quantitative methodologies, model assumptions, and system architecture for internal stakeholders.
- ● Collaborate closely with Trading, Sales, Structuring, Risk Management, and Technology teams across global locations.
- ● Support the strategic transformation of the quantitative platform by promoting best practices in software engineering, architecture, testing, and code quality.
- ● What You Bring:
- ● Approximately 3+ years of experience in Front Office Quantitative Analytics, Quantitative Development, Financial Engineering, or related roles supporting trading businesses.
- ● Proven experience developing pricing models, market data frameworks, and curve construction methodologies for interest rate and FX products.
- ● Technical Skills
- ● Strong programming skills in Python and modern C++.
Requirements
- ● Quantitative libraries such as QuantLib or similar analytics frameworks.
- ● Bloomberg, Murex, Summit, or other front-office trading platforms.
- ● Performance optimization, parallel computing, and scalable distributed systems.
- ● Automated testing frameworks, model validation, and production monitoring.
- ● Strong analytical and problem-solving abilities with a hands-on, ownership mindset.
- ● Ability to perform effectively in a fast-paced Front Office trading environment.
- ● Excellent communication skills with the ability to explain complex quantitative concepts to technical and non-technical stakeholders.
- ● Collaborative approach with the ability to work effectively across Trading, Technology, Risk, and Structuring teams.
- ● Demonstrated ability to balance quantitative rigor with pragmatic solutions that deliver business value.
- ● Master's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
- ● PhD: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Preferred
- ● Certifications:
- ● Professional certifications such as CQF or FRM are a plus.
- ● It Would Be Nice For You To Have:
- ● Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
- ● What Else You Need To Know:
- ● The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.
- ● Base Pay Range:
- ● Minimum: 225,000.00 USD
- ● 255,000.00 USD
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