Senior Data Scientist

Summary

Join our team as a Senior Data Scientist and lead the development and deployment of advanced analytics solutions. You will design, build, and maintain predictive models using machine learning techniques, explore and engineer features from various data sources, and apply effective analytical methods to solve complex business problems. This role requires collaboration with cross-functional teams to translate analytical findings into actionable recommendations. You will also establish monitoring frameworks to detect emerging risks and opportunities. The ideal candidate will have an advanced degree in a quantitative field and 3+ years of hands-on data science experience, preferably in FinTech or financial services.

Requirements

• An advanced degree (Master’s or PhD) in Statistics, Mathematics, Data Science, Operations Research, Engineering, or a related quantitative field
• 3+ years of hands-on experience in data science, with a strong preference for candidates with a background in the FinTech or financial services industry
• Proficiency in statistical modeling and data analysis using R or Python, with solid experience working with large datasets and writing complex SQL queries
• Strong analytical and problem-solving skills, with a proven ability to synthesize quantitative and qualitative data to answer complex business questions
• Excellent communication skills, including the ability to present technical findings clearly and persuasively to both technical and non-technical audiences
• A self-starter mindset with strong organizational skills, capable of managing multiple priorities in a fast-paced, dynamic environment

Responsibilities

• Model Development & Optimization : Design, build, and maintain predictive models using advanced statistical and machine learning techniques to support risk assessment, credit scoring, pricing strategies, and loan origination optimization. Continuously monitor and enhance model performance to adapt to changing business needs
• Data Exploration & Feature Engineering : Evaluate internal and external data sources to identify valuable features, improve model accuracy, and uncover new opportunities for innovation
• Analytical Strategy & Insights : Apply the most effective analytical methods to solve complex business problems, generate actionable insights, and recommend data-driven strategies that improve decision-making and operational efficiency
• Risk & Opportunity Monitoring : Establish robust monitoring frameworks to detect emerging risks and opportunities, ensuring timely and proactive responses
• Stakeholder Collaboration & Communication : Partner with cross-functional teams to identify high-impact use cases, translate analytical findings into compelling narratives, and deliver clear, actionable recommendations to both technical and non-technical audiences

Preferred Qualifications

• Proficiency with data visualization tools such as Power BI or Tableau is a plus
• Experience working in Databricks or similar cloud-based analytics environments is a plus
• Modeling experience with FCRA-regulated data (e.g. credit bureau attributes) is a plus