Senior Risk Management Specialist

2 days ago

Jodhpur, India beBeeDataScientist Full time

About us: bluCognition is an AI/ML based start-up that specializes in risk analytics, data conversion and data enrichment capabilities. Founded by senior professionals from the financial services industry, the company leverages the latest technology stack in AI, ML and NLP combined with decades of experience in risk management.Our clients are top names in the financial services industry. We are entering a significant growth phase and are looking for individuals who want to be part of our exciting journey.Position: Data Scientist (Risk strategy)About the roleAs Data Scientist in the credit risk strategy team, you will leverage your creative and critical thinking skills to develop best-in-class risk management strategies that have a meaningful impact on business. These strategies will support credit and fraud risk, customer experience, marketing verticals and beyond.We rely on you 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. Your work will also support compliance, documentation, and knowledge sharing in risk strategies.Key responsibilities:Develop, validate and deploy risk management strategies using sophisticated data analytics and domain expertiseExtract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources for usage in strategy developmentMaintain robust documentation of approach and techniques used; including objectives, assumptions, performance, weaknesses, and limitationsBe ready to adapt to new tools/libraries/technologies/platformsPartner with engineers to validate & deploy scalable solutionsCollaborate to gather insight from partners across the organizationWhat we look for in candidates:Degree in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred3+ years of Data Science experience2+ years in financial servicesExperience building and implementing risk strategies in productionDeep understanding of segmentation techniques such as decision treesExperience in banking sector with exposure to risk management analyticsProficient with PythonProficient with SQLPractical experience using Spark is a plusUnderstanding of statistical modeling techniques is a plusTechnical understanding of algorithm complexity, probability & statisticsSelf-driven with an aptitude for independent research & problem-solvingAbility to multi-task in a fast-paced environment is essential

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