Senior Risk Analyst (Hosur)

🚨 We’re Hiring: Analyst – Risk Data (Banking Industry) 📍 Location: Remote 📅 Contract Duration: 6 Months (Extension based on performance review) 🏦 Industry Requirement: Banking experience mandatory We are looking for an experienced Data & Analytics Analyst with strong expertise in Credit Risk and Risk Data Management within the banking sector. This role involves supporting risk data acquisition, aggregation, analysis, and reporting while contributing to innovative solutions that enhance risk data management and analytics. ⚠️ Note: Only candidates currently working in the Banking Industry and meeting the required criteria should apply. 🔹 Key Responsibilities - Provide high-quality analytical inputs to support Risk Data acquisition, aggregation, calculations, and reporting. - Capture, validate, and document business and data requirements aligned with strategic principles. - Analyze and visualize large volumes of risk data to identify business opportunities and support decision-making. - Collaborate closely with teams including Credit Risk Model Development, Risk Appetite, Portfolio Management, BASEL Capital Management, and IFRS 9 Reporting (Wholesale Banking). - Work with IT partners to deliver solutions for migrated legacy systems and align with strategic risk data architecture. - Develop automation solutions for recurring tasks using SQL, Python, and Excel Macros while contributing to long-term strategic solutions. - Support Risk & Finance data controls and help strengthen risk data governance and standards. - Conduct data gap analysis, identify business issues, and contribute to high-quality data-driven business solutions. - Perform data extraction, processing, manipulation, and analysis to improve risk reporting and operational efficiency. - Execute quality assurance checks to ensure data accuracy, consistency, and reliability. 🔹 Required Skills & Experience - 8–10 years of experience in Credit Risk, Risk Data Management Framework, and Basel III within the banking industry. - Strong understanding of Investment Banking products, Credit Risk, Stress Testing, Wholesale Credit Risk Model data, and Basel Capital Requirements. - Hands-on experience with Risk Data Collection, Aggregation, Calculations, and Reporting. - Strong analytical and problem-solving skills with expertise in data gap analysis and solutioning. - Proficiency in SQL, Python, R, and database tools. - Experience with data automation and reporting frameworks. - Excellent communication and stakeholder management skills. 🔹 Education - Graduate degree required - MBA (Finance) or equivalent preferred - CFA / FRM certification will be an added advantage 🔹 Key Attributes - Strong team collaboration and accountability - High integrity and ethical standards - Ability to drive process improvements and automation initiatives - Skilled mindset with a strong focus on data accuracy and governance