Data Scientist

Summary

Join bluCognition, an AI/ML company specializing in risk analytics, as a Data Scientist in their credit risk strategy team. You will leverage your data science skills to develop and deploy risk management strategies, analyze data, and collaborate with engineers to implement scalable solutions. This role requires a quantitative degree, 3+ years of Data Science experience, 2+ years in financial services, and experience building and implementing risk strategies in production. You will also need proficiency in Python and SQL, and experience with Spark and statistical modeling techniques is a plus.

Requirements

• 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
• Technical understanding of algorithm complexity, probability & statistics
• Self-driven with an aptitude for independent research & problem-solving
• Ability to multi-task in a fast-paced environment is essential

Responsibilities

• 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

Preferred Qualifications

• Practical experience using Spark is a plus
• Understanding of statistical modeling techniques is a plus