Job Summary:
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* Solve complex problems in creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
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* Collaborate with Data Analytics and Data Engineering teams to integrate machine learning models into production systems.
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About the Role:
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* Create interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments.
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* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
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* Cook and mentor fellow data analysts and data engineers.
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* Exhibit and foster company culture and operating principles.
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Key Responsibilities:
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1. Develop software solutions with superb programming skills.
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2. Communicate technical information to non-technical audiences.
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3. Maintain high standards of work quality.
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4. Balance short-term goals with long-term objectives.
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5. Mentor team members and inspire them to excel.
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6. Prioritize delivering high-quality outcomes and projects.
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7. Adapt to changing environments and challenges.
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Requirements:
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* Masters degree in mathematics, statistics, economics, computer science, or related field.
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* 10+ years experience in Machine Learning and Statistics, or relevant bachelor's degree with equivalent experience.
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* Strong experience in AI and ML in the financial technology or service industry.
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* Proven track record in building and deploying machine learning models.
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* Proficiency in statistical and machine learning techniques for predictive modeling.
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* Knowledge of Python, SQL, and AWS cloud services.
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* Experience with model registry tools and AI/ML platforms.
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* Familiarity with Snowflake for cloud data warehousing.
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What We Offer:
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* Competitive salary.
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* Remote first work environment.
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Working with Us:
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We invest in our people with benefits designed to help you thrive both personally and professionally.
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