Quantitative Lead - Vice President at Citi

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analysis, Risk Management, Model Validation, Data Analysis, Statistical Modeling, Project Management, Communication Skills, SAS, Microsoft Excel, Analytical Thinking, Business Acumen, Policy and Regulation, Risk Identification, Statistics, Model Development, Stakeholder Management

Industry

Financial Services

Description

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. 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. 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. Manages model risk across the model life-cycle including model validation, ongoing performance evaluation and annual model reviews. Translates operational requests from the business into programming and data criteria and conduct systems and operational research in order to model expected results. Assists in the development of analytic engines for business product lines. Communicates results to diverse audiences. 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 model validation 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. 6-10 years experience Proficient in Microsoft Office with an emphasis on MS Excel 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 and test prediction models. comfortable interfacing with business clients. proficiency handling very 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. Bachelor's/University degree or equivalent experience, potentially Masters degree 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. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

The role involves managing model risk across the model life-cycle, including validation and performance evaluation. It also includes translating operational requests into programming criteria and conducting analysis for business product lines.