Data Analyst - Credit Risk

As an adept data analyst, your role will involve handling large datasets, performing data modelling, validation, and statistical analyses using various tools. You will drive project deliveries and manage a team of data professionals while collaborating with business stakeholders. Key Responsibilities: - Convert business problems into analytical problems and provide relevant solutions - Demonstrate overall business understanding in the BFSI domain - Deliver high-quality analysis and recommendations for business problems - Efficiently manage projects and ensure timely delivery - Conceptualize data-driven solutions for business problems across multiple businesses/regions - Focus on enhancing processes and driving efficiency gains - Utilize data to enhance customer outcomes and provide valuable insights - Initiate self-driven projects to drive business benefits Leadership & Teamwork: - Demonstrate a positive team player attitude while collaborating with a diverse global team - Liaise with various stakeholders including business teams, analysts, product owners, and developers - Display leadership qualities by mentoring junior team members and guiding them as needed - Work with an Agile mindset using tools like Jira, Confluence, and GitHub for project management - Exhibit strong stakeholder management and collaboration skills - Ensure adherence to Management of Risk, Internal Controls, and Compliance for yourself and the team Qualifications Required: - Proficiency in Python, SQL, SAS, Excel, and Pyspark - Previous experience in project management using Agile methodology and tools like Jira, Confluence, and GitHub - Familiarity with Credit Risk Management framework is beneficial - Exposure to Bigdata, Hadoop data lake, and cloud platforms like GCP, Azure, AWS is advantageous - Knowledge of visualization tools such as Qliksense, Tableau, and Power BI is a plus (Note: No additional company details provided in the job description),