March 15
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• Deliver risk solutions across credit risk • Work with stakeholders across product management, data science, and engineering • Manage challenging time constraints to ensure on-time delivery of projects • Build credit analysis models and provide data-driven insights • Generate risk management reports for monitoring acceptance rates • Evaluate existing and new data sources for optimized solutions • Analyze loss trends and simulate risk decisioning strategies • Recommend credit risk decisioning and model deployment strategy • Build a risk scorecard for credit decisioning • Collaborate with partner teams and data science team • Collate analysis and build presentations for leadership team
• Quantitative background in engineering, statistics, math, economics, business, or related discipline • 3+ years' experience in analyzing data and using database query language • Experience in programming with Python, R, databricks in finance or analytics • Experience with non-traditional data such as social media a plus • Prior model building experience a plus • Analytical mindset and strong problem-solving skills • Attention to detail and ability to multitask • Comfortable in fast-paced environment • Strong communication, interpersonal, and presentation skills • Ability to engage and collaborate with multiple stakeholders
• Remote work • Opportunity to work with AI and ML technologies • Chance to work with big names in the financial services industry • Entrepreneurial mindset encouraged • Exciting growth phase
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