Senior Risk Analyst

13 hours ago

Pune, Maharashtra, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 28,00,000
Data Scientist Job

We are seeking a highly analytical professional to lead a dynamic team in delivering high-impact risk solutions. You will be responsible for analyzing loss trends, simulating risk decisioning strategies, and building risk scorecards.

  • 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 and drive the implementation of risk strategies.
  • Manage challenging time constraints to ensure on-time delivery of projects.
  • Work closely with partner teams in identifying, evaluating, and recommending 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 and recommend credit risk decisioning and model deployment strategy.
  • Build a risk scorecard that leverages both internal and external performance data for credit decisioning.
  • Collate analysis and build presentations that help articulate the risk strategy for the leadership team.

Requirements:

  • Experience in analyzing data and using database query language (e.g., SQL).
  • Proficiency in programming and developer tools such as Python, R, and Databricks in a finance or analytics field.
  • Experience in leading high-performing teams of analysts.
  • Experience in working with non-traditional data such as social media will be 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; and 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.

Qualifications:

  • Quantitative background in engineering, statistics, math, economics, business, or related disciplines.

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