VP Market Risk Quantitative Analyst
Madison Ave Corp, United States
Full Time Executive-level / Director USD 120K - 205K
Santander
Our purpose is to help people and businesses prosper. We strive to make all we do Simple, Personal and Fair.Your Journey Starts Here:
Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success.
An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You!
The Difference You Make:
Santander Capital Markets is a leading financial institution with a strong presence on Wall Street. We are committed to delivering innovative financial solutions and maintaining robust risk management practices. Our Market Risk team plays a critical role in ensuring the stability and integrity of our financial operations.
We are looking for a highly skilled and motivated Quantitative Analyst to join our Market Risk team. The ideal candidate will have strong technical expertise in fixed income quantitative finance, derivative pricing models – Interest Rates, Credit, FX, option pricing, etc. stochastic calculus modeling, along with a deep understanding of market risk measures and regulatory requirements.
This role requires proficiency in programming languages like Python, R, MATLAB, and SQL, as well as the ability to develop and deliver high-quality technical documentation. The successful candidate will combine analytical rigor with programming skills to support and document risk management and financial modeling initiatives.
Independent Model Assessment and Testing:
- Conduct qualitative and quantitative assessment of risk models, ensuring data quality, theoretical soundness, and ongoing performance testing.
- Perform independent testing of model assumptions and assess conceptual robustness.
- Utilize statistical and machine learning techniques to analyze model risks and validate outputs.
- Evaluate emerging risks, reach conclusions on strengths and limitations of the model, and provide recommendations to enhance model resilience.
- Engage in continuous dialogue with model developers, risk managers, and business stakeholders.
- Prepare detailed Model Development Documentation (MDD) to ensure regulatory compliance.
Risk Analytics & Model Development:
- Develop, test, and enhance risk analytics frameworks for new financial products.
- Implement infrastructure improvements to support new risk analytics models, including performance monitoring controls.
- Conduct quantitative research to refine model assumptions and identify areas for improvement.
- Implement model changes, enhancements, and remediation plans to align with regulatory expectations.
Stakeholder Communication & Regulatory Compliance:
- Collaborate with key stakeholders, including trading desks, IT, global and local risk management teams, and model validation units.
- Effectively communicate validation results and risk insights to both technical and non-technical audiences, including regulatory bodies.
- Ensure all models comply with internal governance and regulatory guidelines (Basel III, SR 11-7, CCAR, FRTB).
What You Bring:
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 or equivalent work experience: Accounting, Business, Statistics, Risk Management, Information Systems, Finance, Economics or equivalent field. - Required
Master's or Ph.D. in a quantitative field such as Finance, Physics, Mathematics, Statistics, Computer Science, Quantitative Finance or a related discipline with a modeling background.
3+ years of experience in trading market risk model development and/or validation within the financial services industry is highly desired.
- Experience with pricing and risk models for fixed income trading products – derivative pricing – interest rates, credit, FX, options pricing, etc.
- Deep understanding of market risk measures, concepts, and regulatory rules: VaR, Greeks, and Model Validation Testing (SR 11-7), AVA, FVA, FRTB.
- Strong knowledge and understanding of the fixed income products and Stochastics calculus.
- Strong analytical skills with the ability to understand and evaluate complex quantitative models.
- Demonstrated ability to write excellent documents describing model details and testing.
Technical Skills:
- Hands-on experience with one or more of Python, R, MATLAB, and SQL
- Advanced Python programming (NumPy, Pandas, SciPy)
- Derivative Pricing and Stochastic Calculus.
- Risk modeling frameworks, financial time series analysis.
- Strong foundation in stochastic calculus, Monte Carlo simulations, and numerical methods.
- Experience with vendors such as PolyPaths, Numerix, Bloomberg, Murex is a plus.
Soft Skills:
- Excellent communication skills to interact with trading desks, risk teams, and regulatory stakeholders.
- Excellent written and verbal communication skills, with the ability to translate complex quantitative concepts into actionable insights for senior management.
Certifications:
No Certifications listed for this job.
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:
$120,000.00 USDMaximum:
$205,000.00 USDBenefits:
Santander Benefits - 2025 Santander OnGoing/NH eGuide (foleon.com)
Risk Culture:
We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
EEO Statement:
At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.
Working Conditions:
Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.
Employer Rights:
This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.
What To Do Next:
If this sounds like a role you are interested in, then please apply.
We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.
Tags: Computer Science Data quality Economics Finance Machine Learning Mathematics Matlab ML models Monte Carlo NumPy Pandas Physics Python R Research SciPy SQL Statistics Testing
Perks/benefits: Career development
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