Data Scientist - Python/R Zorba Consulting

6.0 - 8.0 years

4 - 7 Lacs

Ahmedabad, Gujarat, India

On-site

Key Responsibilities: Lead a dynamic team to deliver high-impact risk solutions across credit risk (underwriting, exposure controls, and line management). Work with stakeholders across product management, data science, and engineering to build relationships with partner teams and drive the implementation of risk strategies. Manage challenging time constraints to ensure on-time delivery of projects. Collaborate with partner teams to identify, evaluate, and recommend new data that helps in risk differentiation. Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates, etc. Work closely with the data science team to recommend credit risk decisioning and model deployment strategies. Build a risk scorecard leveraging both internal performance data and external performance data for credit decisioning at underwriting and account management reviews for existing customers. Collate analysis and build presentations to articulate the risk strategy for the leadership team. Position Requirements: Quantitative background in engineering, statistics, math, economics, business, or related disciplines. 5+ years of experience in analyzing data and using database query language (e.g., SQL), and programming and developer tools such as Python, R, and Databricks in a finance or analytics field. 2+ years of experience in leading a high-performing team of analysts. Experience working with non-traditional data (e.g., social media) is a big plus. Prior model-building experience is a plus but not critical. Possesses an analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask. Comfortable working in a fast-paced environment and dealing with ambiguity. Possesses strong communication, interpersonal, and presentation skills; ability to engage and collaborate with multiple stakeholders across teams. Extremely proactive communicator, willing to raise flags when needed and keep team members informed of ongoing risk or fraud-related activities.

Posted 1 week ago

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