Data Analyst -Credit Risk

As a data analysis expert, you will be responsible for handling large datasets and conducting data modeling, validation, and statistical analyses using various data analysis tools. Your role involves converting business problems into analytical problems and providing high-quality analysis and recommendations to solve them. Your ability to conceptualize data-driven solutions for multiple businesses/regions will facilitate efficient decision-making. You will focus on driving efficiency gains, enhancing processes, and improving customer outcomes through data insights. Key Responsibilities: - Convert business problems into analytical problems and find pertinent solutions - Demonstrate overall business understanding of the BFSI domain - Provide high-quality analysis and recommendations - Efficiently manage and deliver projects - Conceptualize data-driven solutions for efficient decision-making - Drive efficiency gains and process enhancements - Improve customer outcomes through data insights - Drive business benefits through self-initiated projects Leadership & Teamwork: - Work as a team player with a culturally diverse team - Liaise with various stakeholders such as business teams, analysts, developers, etc. - Demonstrate leadership by mentoring junior team members - Work with an Agile mindset and use project management tools like Jira and Confluence - Manage stakeholders effectively and collaborate efficiently - Ensure adherence to Risk/Internal Controls/Compliance Qualifications Required: - Proficiency in Python, SQL, SAS, Excel, Pyspark - Prior project management experience with Agile methodology - Exposure to Credit Risk Management framework - Knowledge of Bigdata and Hadoop data lake is a plus - Familiarity with cloud platforms like GCP, Azure, AWS is advantageous - Expertise in visualization tools like Qliksense, Tableau, Power BI is desirable (Note: No additional information about the company was provided in the job description.),