Data Scientist - Risk Strategy

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April 16

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Nexthire is a technology driven recruitment platform that enables companies to hire 2x faster with its advanced algorithms based on years of data.The leadership team has several decades of collective experience working for top product development companies in India. We believe in breaking the conventional ideas that have been rooted in the staffing industry. We provide end to end recruitment solutions and are developing amazing tools that will help shape the future of recruitment industry.Trusted by 100+ brands, MNCs and startups alike, we are creating a hiring experience like never before.

11 - 50 employees

📋 Description

• 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

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