๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฒ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฏ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฒ-๐ฏ๐ฎ ๐๐ฃ๐)
Experience: 3+ yrs
Location: Mumbai
As a Sr. Risk Analyst, you will play a pivotal role in safeguarding the organizationโs financial integrity by developing and executing advanced credit risk models, conducting data-driven analyses, and providing actionable insights to senior management. You will leverage your expertise in SQL to extract, transform, and query large datasets from multiple systems, turning raw data into clear, concise risk metrics. Working closely with cross-functional teams, you will translate complex quantitative findings into strategic recommendations that enhance risk mitigation strategies and support business growth. Your analytical acumen, coupled with your ability to communicate findings to both technical and non-technical stakeholders, will ensure that risk assessments remain accurate, compliant, and aligned with industry best practices.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โขDesign, develop, and maintain credit risk models and scoring systems using SQL and statistical techniques.
โขExtract and manipulate large datasets from relational databases to support credit risk analysis and reporting.
โขConduct in-depth risk assessments, trend analyses, and scenario testing to identify potential credit exposure.
โขCollaborate with product, underwriting, and finance teams to refine risk appetite and underwriting guidelines.
โขProduce comprehensive risk reports, dashboards, and presentations for senior leadership.
โขMonitor regulatory changes and ensure model compliance with relevant standards and guidelines.
โขLead continuous improvement initiatives to optimize data quality and model performance.
โขManage and mentor junior analysts, providing guidance on best practices and career development.
โขParticipate in cross-functional risk assessment projects, integrating credit, market, and operational risk perspectives.
โขConduct periodic model validation and back-testing to assess predictive accuracy and refine methodologies.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โขBachelorโs or Masterโs degree in Finance, Economics, Statistics, or a related field.
โข3+ years of experience in credit risk analysis within financial institutions or consulting environments.
โขAdvanced proficiency in SQL, including complex queries, stored procedures, and performance tuning.
โขStrong analytical skills with experience in statistical modeling, probability, and predictive analytics.
โขFamiliarity with risk modeling tools such as SAS, R, Python, or similar.
โขDemonstrated ability to communicate complex risk concepts to diverse audiences.
โขKnowledge of regulatory frameworks such as Basel III, Dodd-Frank, or equivalent.
โขProven track record of delivering high-quality reports and actionable insights on time.
โขExcellent project management skills, capable of handling multiple priorities concurrently.
โขProactive mindset, continuously seeking innovative solutions to enhance risk evaluation processes.