51 Risk Modeling jobs in India
Risk Modeling Governance
Posted 1 day ago
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The Model/Anlys/Valid Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
This Model/Anlys/Valid Officer position will work within the Risk Model Management team to assist in the coordination of key governance and control activities across the Risk Modeling Solutions (RMS) team. RMS pursues two distinct but related activities: 1) delivering risk models to drive the credit management of customers across USPB and 2) delivering the risk models to support stress testing and loan loss reserving for those portfolios. In providing end-to-end support of these two activities, RMS maintains extensive production execution capabilities as well as governance & control capabilities necessary to assure compliance of the models managed by RMS.
This position will also assist to coordinate the governance activities across the Risk Modeling Solutions Leadership Team containing a Decision Modeling branch, a Regulatory Modeling branch as well as a Model Implementation & Execution branch to ensure all risk models are compliant with regulatory (OCC, FRB, CFPB) and Citi policy requirements, and properly monitored to ensure all customers decisions continue to satisfy risk appetite framework requirements.
Responsibilities:
- Assist with the Issue Management Process for Risk Modeling Solutions team, to ensure all aspects and requirements for the Global Issue Management Policy are covered.
- Assist with the ownership of Fair Lending and Legal compliance process for all of the risk models within Branded Cards. Coordinate and liaise with Policy and Development teams to assist with management of new model approval and model change from Fair Lending & Legal perspective across Risk Modeling Solutions.
- Use analytical framework to validate and regularly test models for Fair Lending compliance, and mathematically ascertain that quantitative models do not discriminate towards protected classes.
- Manages model risk across the model life-cycle including model validation, ongoing performance evaluation and annual model reviews.
- Produces analytics and reporting used to manage risk for Citi's operations.
- Communicates results to diverse audiences.
- Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
- Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards.
- Participates on teams to solve business problems.
- Identifies modeling opportunities that yield measurable business results.
- Provides guidance to junior validators as and when necessary.
- Manages stakeholder interaction with model developers and business owners during the model life-cycle.
- Represents the bank in interactions with regulatory agencies, as required.
- Presents findings to senior management and supervisory authorities.
- Provides effective challenge to model assumptions, mathematical formulation, and implementation.
- Assesses and quantifies model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls.
- Contributes to strategic, cross-functional initiatives within the model risk organization.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- 10+ years experience in a relevant or analytics role, ideally in the financial sector
- Proficient in Microsoft Office with an emphasis on MS Excel, ideally also experienced with Issue Management Tracking Software
- Consistently demonstrates clear and concise written and verbal communication skills
- Self-motivated and detail oriented
- Demonstrated project management and organizational skills and capability to handle multiple projects at one time .
- Practical experience using SAS or similar statistical coding software to build, analyze and/or test prediction models. comfortable interfacing with business clients. proficiency handling large data sets.
- Experience in a quantitative role in risk management at a financial institution with experience in either model development or validation.
- Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models.
Education:
- Bachelor's/University degree or equivalent experience, potentially Masters degree
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Job Family Group:
Risk Management
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Job Family:
Risk Analytics, Modeling, and Validation
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Time Type:
Full time
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Most Relevant Skills
Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .
View Citi's EEO Policy Statement and the Know Your Rights poster.
Principal Actuary - Risk Modeling
Posted 1 day ago
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Actuarial Analyst - Risk Modeling
Posted 8 days ago
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Actuarial Analyst - Risk Modeling
Posted 11 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain actuarial models for pricing, reserving, and financial forecasting.
- Analyze financial data to identify, assess, and quantify risks across different insurance products and business units.
- Perform hands-on statistical analysis and financial modeling using specialized software.
- Assist in the preparation of regulatory filings and reports, ensuring compliance with industry standards.
- Collaborate with actuaries, underwriters, and other finance professionals to provide insights on risk management strategies.
- Contribute to the validation and testing of existing models to ensure accuracy and reliability.
- Stay current with industry trends, regulatory changes, and advancements in actuarial techniques.
- Support product development initiatives by providing pricing recommendations and risk assessments.
- Develop clear and concise documentation for models, methodologies, and assumptions.
- Present findings and recommendations to management and relevant stakeholders.
- Participate in peer reviews of actuarial work.
- Assist in the development and implementation of risk mitigation strategies.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative field.
- Progress towards actuarial accreditation (e.g., completion of SOA/CAS exams) is highly preferred.
- Minimum of 3-5 years of experience in an actuarial role, preferably in the insurance industry.
- Proficiency in actuarial software (e.g., Prophet, GGY Axis) and statistical tools (e.g., R, Python, SQL).
- Strong understanding of probability, statistics, and financial modeling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Detail-oriented with a commitment to accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a collaborative team in an office environment.
Actuarial Analyst - Risk Modeling
Posted 15 days ago
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Job Description
You will work with large datasets, applying statistical techniques and actuarial principles to derive insights and make informed recommendations. Key tasks involve building and maintaining pricing models, reserving models, and other financial models required for solvency and profitability analysis. Collaboration with underwriting, claims, and finance departments is essential to ensure that actuarial insights are effectively integrated into business decision-making. You will also be involved in presenting findings and model results to senior management and regulatory bodies.
The ideal candidate will have a strong foundation in actuarial science, excellent quantitative skills, and proficiency in actuarial software and programming languages (e.g., R, Python, SQL). Experience with regulatory frameworks such as IRDAI guidelines is highly beneficial. A commitment to continuous professional development, including pursuing actuarial designations, is expected. This role requires meticulous attention to detail, strong problem-solving abilities, and effective communication skills to explain complex actuarial concepts to non-actuarial stakeholders.
Qualifications:
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Passed a significant number of actuarial exams (e.g., from the Institute of Actuaries of India, SOA, or similar).
- Minimum of 3-5 years of experience in an actuarial role within the insurance industry.
- Demonstrated experience in pricing, reserving, or risk modeling.
- Proficiency in actuarial modeling software and programming languages (e.g., R, Python, SQL, Prophet).
- Strong analytical, statistical, and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work effectively both independently and as part of a collaborative team.
This is an excellent opportunity for an aspiring actuary to advance their career in a supportive and challenging environment.
Risk Modeling and Analytics
Posted today
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Job Description
• develop risk-based monitoring tools both on a portfolio as well as on a single client level (e.g., concentration and liquidity) from which steering actions for our portfolios will be derived
• collaborate with risk officers, business managers, Risk IT, Change Operations, and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
• implement prototype models in R or SAS before being embedded into the productive risk infrastructure
• bring innovation and of automation by actively elaborating and proposing improvements to our model maintenance and development process
Risk Modeling and Analytics
Posted today
Job Viewed
Job Description
• develop risk-based monitoring tools both on a portfolio as well as on a single client level (e.g., concentration and liquidity) from which steering actions for our portfolios will be derived
• collaborate with risk officers, business managers, Risk IT, Change Operations, and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
• implement prototype models in R or SAS before being embedded into the productive risk infrastructure
• bring innovation and of automation by actively elaborating and proposing improvements to our model maintenance and development process
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Senior Actuarial Analyst - Risk Modeling
Posted today
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Key Responsibilities:
- Develop, implement, and maintain actuarial models for pricing, reserving, and risk assessment across various insurance lines.
- Analyze complex datasets to identify key risk drivers and quantify potential financial impacts.
- Conduct scenario testing and stress testing to evaluate the company's resilience under adverse market conditions.
- Collaborate with underwriting, claims, and finance departments to provide actuarial insights and support business decisions.
- Ensure compliance with regulatory requirements and industry best practices related to actuarial reporting and risk management.
- Assist in the development of capital allocation strategies and solvency monitoring.
- Prepare detailed reports and presentations on actuarial findings and recommendations for senior management.
- Stay current with advancements in actuarial science, risk management, and insurance regulations.
- Mentor junior actuaries and provide guidance on technical methodologies.
- Contribute to the continuous improvement of actuarial processes and systems.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Professional actuarial qualification (e.g., ACAS, FCAS, AICA, FICA) or progress towards it is highly desirable.
- Minimum of 5 years of experience in actuarial analysis, with a strong focus on risk modeling within the insurance industry.
- Proficiency in actuarial software and statistical analysis tools (e.g., Prophet, GGY Axis, R, Python, SQL).
- Solid understanding of insurance principles, financial markets, and regulatory frameworks.
- Excellent analytical, problem-solving, and quantitative skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Ability to work independently and as part of a team.
- Detail-oriented with a commitment to accuracy and precision.
The position is based in Vadodara, Gujarat, IN .
Lead Actuarial Analyst - Risk Modeling
Posted today
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Job Description
The Lead Actuarial Analyst will be responsible for developing, validating, and implementing sophisticated actuarial models to assess insurance risks, including life, health, and general insurance products. You will play a key role in pricing strategies, reserving, capital management, and regulatory compliance. This position demands a strong understanding of actuarial principles, statistical methods, and programming skills, particularly in languages like Python, R, or SAS. You will lead a team of actuarial professionals, providing guidance, mentorship, and technical expertise. Collaboration with underwriting, claims, and finance departments will be essential to ensure accurate risk assessment and profitability. Key responsibilities include performing experience analyses, projecting future claims costs, and evaluating the impact of economic and market changes on the company's financial health. The successful candidate will contribute to the strategic decision-making process by providing clear, data-driven insights.
We are seeking individuals who have achieved Associateship or Fellowship status with a recognized actuarial society (e.g., Institute of Actuaries of India, SOA, CAS). A minimum of 5-7 years of relevant actuarial experience is required, with a proven track record in risk modeling and pricing. Exceptional analytical and problem-solving abilities, coupled with strong communication skills, are paramount. Familiarity with Solvency II, IFRS 17, or other relevant regulatory frameworks is a plus. This role is office-based, fostering a collaborative and dynamic team environment within Chennai, Tamil Nadu, IN . If you are a motivated actuary looking to take on greater responsibility and make a significant impact in the insurance industry, we want to hear from you.
Senior Actuarial Analyst (Risk Modeling)
Posted today
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Job Description
Responsibilities:
- Develop, test, and implement sophisticated actuarial models for risk assessment.
- Analyze large datasets to identify trends, patterns, and potential risks.
- Perform pricing, reserving, and solvency analyses for insurance products.
- Validate existing models and propose improvements for accuracy and efficiency.
- Collaborate with cross-functional teams on product development and financial planning.
- Stay abreast of industry trends, regulatory changes, and emerging risks.
- Mentor and guide junior actuarial analysts.
- Communicate complex actuarial concepts and findings to stakeholders.
- Ensure compliance with all relevant actuarial standards and regulations.
- Contribute to the development of new analytical tools and methodologies.
- Bachelor's or Master's degree in Actuarial Science, Statistics, Mathematics, or a related quantitative field.
- Associate or Fellow designation from a recognized actuarial society (e.g., IAA, IFoA).
- Minimum of 5 years of progressive actuarial experience in the insurance industry.
- Proven expertise in risk modeling, statistical analysis, and predictive modeling.
- Proficiency in actuarial software (e.g., Prophet, MoSes, ResQ) and programming languages (e.g., R, Python, SQL).
- Strong understanding of insurance products, regulations, and financial reporting.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior written and verbal communication abilities.
- Ability to work independently and manage projects effectively in a remote setting.
- Experience with Solvency II or other capital adequacy frameworks is a plus.