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Senior Quantitative Model Risk Developer Jobs (Hybrid work)

39 Job Offers

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Model/Analysis/Validation Senior Analyst
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United States , New York
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136500.00 - 175000.00 USD / Year
https://www.citi.com/ Logo
Citi
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Artificial Intelligence Model Risk Management Reviewer Validator
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United States , Wilmington
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96400.00 - 144600.00 USD / Year
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Citi
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Avp ml and genai model validation
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India , Noida
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Not provided
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Barclays
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Director, Structured rates / Structured notes modeler
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Singapore , Singapore
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Not provided
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Barclays
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CRDU Operations Strategy Manager
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United States , Whippany
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110000.00 - 155000.00 USD / Year
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Barclays
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Senior Credit Risk Analyst, Quantitative
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Canada , Toronto
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Not provided
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Randstad
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Quantitative Research Analyst
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India , Bangalore
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Not provided
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Clear Street
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Market Risk Senior Analyst
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Poland , Warsaw
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Not provided
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Citi
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Portfolio Credit Risk Management 2nd Line of Defense Lead Analyst
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Poland , Warsaw
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Not provided
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Citi
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Senior Validation Analyst - Credit Derivatives
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Poland , Warsaw
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Not provided
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Citi
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Senior Credit Portfolio Risk Manager
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Singapore , Singapore
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Not provided
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Citi
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Senior Analyst
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Poland , Krakow
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HSBC
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Senior Quantitative Analyst
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Hungary , Budapest
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Citi
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Quantitative Lead
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India , Mumbai
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Citi
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Credit Portfolio Senior Risk Analyst
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Singapore , Singapore
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Citi
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Senior Quantitative Risk Analyst
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Ireland , Dublin
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Allianz
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Senior Vice President, Quantitative Research
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India , Mumbai
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Citi
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MRM Qualitative Models Validation Senior Analyst AVP
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Canada , Mississauga
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Citi
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Financial Solutions Senior Analyst - FRTB Market Risk
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Poland , Warsaw
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Citi
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Senior Vice President, Quantitative Research
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India , Mumbai
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Citi
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Explore senior quantitative model risk developer jobs and discover a pivotal career at the intersection of high finance, advanced statistics, and software engineering. Professionals in this senior role are the architects and guardians of the complex mathematical models that financial institutions use to quantify and manage risk. Their work is fundamental to ensuring institutional stability, regulatory compliance, and informed strategic decision-making in areas such as credit risk, market risk, and economic capital. A Senior Quantitative Model Risk Developer typically spearheads the entire model lifecycle. This involves researching and designing innovative modeling methodologies, translating complex financial theories into robust, production-ready code, and rigorously validating model performance. They are responsible for maintaining and enhancing existing models to adapt to new regulations, changing market conditions, and evolving business needs. A core aspect of the role is ensuring all models comply with stringent internal governance policies and external regulatory standards, such as those from the Basel Committee. Furthermore, these experts act as crucial liaisons, distilling highly technical concepts into clear insights for risk managers, business leaders, and regulators, thereby influencing key capital allocation and risk-taking decisions. The skill set required for these challenging jobs is multidisciplinary. Candidates invariably possess an advanced degree (Master's or PhD) in a quantitative field like mathematics, statistics, physics, financial engineering, or computer science. They have deep expertise in statistical modeling, econometrics, and financial risk theory. Technical proficiency is non-negotiable, with strong programming skills in Python and/or C++ for high-performance model implementation, coupled with experience in data manipulation using SQL and big data platforms. Beyond technical acumen, success demands exceptional analytical and problem-solving abilities to diagnose model weaknesses and innovate solutions. Senior roles also require proven leadership to mentor junior quants and outstanding communication skills to articulate model assumptions, limitations, and results to diverse, often non-technical, stakeholders. Pursuing senior quantitative model risk developer jobs means entering a field where technical precision meets significant business impact. These professionals are highly valued for their ability to protect financial entities from unexpected losses and navigate the complex regulatory landscape, making this a stable, respected, and intellectually rewarding career path for top quantitative talent.

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