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Mid-level, popular data role in a metro with broad skillset, driving high candidate competition.
Strong BFSI credit risk and regulatory knowledge requirement reduces cross-industry transferability.
Explicit 5+ years, mandatory SQL/PySpark skills and banking domain knowledge enforce strict shortlisting.
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Own delivery of data analysis and data mapping tasks ensuring high quality and timely completion.
Translate business requirements into data models and analytical solutions primarily in credit and lending within BFSI domain.
Collaborate with team leads to define and review architecture and design, and communicate project status and risks to stakeholders.
5+ years as a Data Analyst with strong decision-making, analytical and problem-solving skills.
Proficient in SQL, PySpark, Python with experience in Big Data frameworks like Hadoop, Hive, and Spark.
Banking domain knowledge specifically in Credit & Lending.
Graduate degree in Computer Science, Data Science, or related field.
Experienced in credit risk frameworks such as Basel II, III, IFRS 9, and Stress Testing with understanding of their drivers is advantageous.
Skilled at breaking down complex business requirements into logical data solutions and translating them into technical attributes with transformations.
Experience working in Agile frameworks with efficient project delivery and ability to drive process improvements and data-driven insights in BFSI domain.