Risk Analytics Expert

7 days ago

India bluCognition Full time

About bluCognition

We're a cutting-edge AI/ML start-up, specializing in risk analytics and data conversion capabilities.

Founded in 2017, by senior professionals from the financial services industry, we're headquartered in the US, with our delivery center based in Pune.

We build innovative solutions using the latest tech stack in AI, ML, and NLP, combined with decades of experience in risk management at top financial services firms worldwide.

Our clients are leading names in the financial services industry. We're entering a significant growth phase and seeking individuals with an entrepreneurial mindset to join us on this exciting journey.

Position: Data Scientist (Risk Strategy)

About the Role

As a Data Scientist in our credit risk strategy team, you'll leverage your creative thinking skills to develop best-in-class risk management strategies that drive meaningful impact on client business.

These strategies will support clients' credit and fraud risk, customer experience, marketing verticals, and beyond.

You'll enable us to stay aligned with market trends by improving turnaround time for developing and implementing risk strategies, allowing for quicker iterations and broader coverage in addressing business challenges through scientific methods.

The core KPIs for this position include additional revenue generated and costs saved from releases.

This role also supports compliance, documentation, and knowledge sharing in risk strategies.

What You'll Do

  • Develop, validate, and deploy risk management strategies using a combination of sophisticated data analytics and domain expertise
  • Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources for usage in strategy development
  • Maintain robust documentation of approach and techniques used; including objectives, assumptions, performance, weaknesses, and limitations
  • Be ready to adapt to new tools/libraries/technologies/platforms
  • Actively partner with engineers to validate & deploy scalable solutions
  • Collaborate to gather insight from partners across the organization
  • Further develop expertise in data science and engineering through self-study, project exposure, and guidance of senior team members

What You'll Bring

  • Degree in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred
  • 3+ years of Data Science experience
  • 2+ years in financial services
  • Experience building and implementing risk strategies in production
  • Deep understanding of segmentation techniques such as decision trees
  • Experience in banking sector with exposure to risk management analytics
  • Proficient with Python
  • Proficient with SQL
  • Practical experience using Spark is a plus
  • Understanding of statistical modeling techniques is a plus
  • Technical understanding of algorithm complexity, probability, and statistics
  • Self-driven with an aptitude for independent research & problem-solving
  • Ability to multi-task in a fast-paced environment is essential

$120,000 - $180,000 per year

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