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Risk Model Development Analyst Jobs (Hybrid work)

7 Job Offers

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Risk Decision Model Development Intermediate Analyst
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Join Citi's Risk Modeling Solutions team in Bengaluru as a Risk Decision Model Development Analyst. Develop advanced Machine Learning models using Python, SAS, and Big Data to drive risk strategy for US Consumer Cards. Ideal candidates have 4+ years of risk modeling experience. Expertise in Gener...
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India , Bengaluru
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Not provided
https://www.citi.com/ Logo
Citi
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Until further notice
Risk Decision Model Development Analyst II
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Join Citi's Risk Modeling Solutions team in Bengaluru as a Risk Decision Model Development Analyst II. You will build advanced risk models using Machine Learning, statistical methods, and tools like Python and SAS. This role focuses on leveraging AI, including GenAI and LLMs, to enhance decision-...
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India , Bengaluru
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Not provided
https://www.citi.com/ Logo
Citi
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Until further notice
Risk Decision Model Development Intermediate Analyst
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Join Citi's Risk Modeling Solutions team in Bengaluru as a Risk Decision Model Development Analyst. Develop advanced Machine Learning models using Python, SAS, and Big Data to drive risk strategy for US Consumer Cards. Ideal candidates have 4+ years of risk modeling experience. Expertise in Gener...
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Location
India , Bengaluru
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Salary
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Risk Model Development Analyst II
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Join Citi's Risk Modeling team in India to develop and maintain critical credit risk models for global consumer portfolios. You will build PD/EAD/LGD models for CCAR, CECL, and regulatory requirements, utilizing strong statistical and programming skills (Python, SAS, R). This role requires 2+ yea...
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India , Bengaluru; Mumbai; Haryana
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Not provided
https://www.citi.com/ Logo
Citi
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Until further notice
Regulatory Risk Model Development Analyst II
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Join Citi's Global Mortgage Regulatory Model Development team in Bengaluru, India. Develop champion risk models for CCAR, CECL, and IFRS9 using advanced statistical and programming skills (SAS, Python, R). This role requires 2+ years of quantitative analysis experience and offers a chance to work...
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India , Haryana, Bengaluru
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Not provided
https://www.citi.com/ Logo
Citi
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Until further notice
Credit Risk Model Development Intmd Analyst
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Join our Risk Analytics team in Bengaluru as a Credit Risk Model Development Analyst. You will develop, validate, and enhance risk measurement methodologies for market, credit, and operational risk. This role requires 4+ years' experience, proficiency in MS Excel, and strong project management sk...
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India , Bengaluru
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Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Credit Risk Model Development Intmd Analyst
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Join our Risk Analytics team in Bengaluru as a Credit Risk Model Development Analyst. You will develop, validate, and enhance risk measurement models for credit, market, and operational risk. The role requires 5+ years' experience, strong analytical skills, and proficiency in MS Excel. This is a ...
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Location
India , Bengaluru
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Salary
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Explore a dynamic and intellectually stimulating career path with Risk Model Development Analyst jobs. This specialized profession sits at the crucial intersection of finance, statistics, and data science, dedicated to safeguarding financial institutions by quantifying and managing potential threats. Professionals in this role are the architects of the mathematical frameworks that predict and mitigate losses, playing a vital part in the stability and strategic decision-making of modern banks and financial entities. If you possess a blend of analytical rigor, technical prowess, and business acumen, a career in risk model development offers a challenging and impactful opportunity. A Risk Model Development Analyst is fundamentally responsible for the entire lifecycle of risk quantification tools. Their core mission involves designing, building, enhancing, and validating sophisticated statistical and machine learning models. These models assess various risk types, most commonly credit risk (likelihood of borrower default), market risk (losses from market movements), and operational risk (losses from internal failures). Day-to-day responsibilities are diverse and project-driven. They typically include extracting and manipulating large datasets, programming and testing model algorithms, conducting back-testing and validation to ensure model accuracy and regulatory compliance, and documenting methodologies thoroughly. Furthermore, these analysts prepare both routine and ad-hoc reports, translating complex model outputs into clear, actionable insights for risk managers and business leaders. To excel in these jobs, a specific skill set is required. A strong quantitative background is non-negotiable, usually supported by a degree in statistics, mathematics, economics, finance, or a related field. Proficiency in programming and data manipulation languages is essential, with common tools including SAS, SQL, R, and Python. Experience with big data platforms like Spark is increasingly valuable. Beyond technical skills, a deep understanding of banking products and the underlying principles of risk is critical. Successful analysts also demonstrate exceptional analytical thinking to identify root causes and future trends. Perhaps equally important are strong communication skills, as the role necessitates explaining highly technical concepts to non-technical stakeholders, ensuring models are understood and properly utilized. Typical requirements for Risk Model Development Analyst positions often include several years of relevant experience in model development, validation, or a related quantitative finance role. The profession demands a detail-oriented, curious, and ethically grounded individual, as the models directly influence business decisions and regulatory standing. For those intrigued by the challenge of using data to foresee and navigate financial peril, Risk Model Development Analyst jobs represent a premier career destination where quantitative expertise directly contributes to financial integrity and innovation.

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