What You’ll Do
- 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.
What You’ll Need
- Bachelor’s degree in quantitative discipline such as Statistics, Mathematics, Data Science, Operations Research, Engineering, or a related field; an advanced degree (master’s or Ph.D.) is strongly preferred.
- 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.
- Experience working in Databricks or similar cloud-based analytics environments.
- Proficiency with data visualization tools such as Power BI, Tableau, or R Shiny.
- Experience leveraging generative AI tools (e.g., ChatGPT, Claude, DALL·E) to enhance productivity, automate content creation, and support data-driven decision-making
Top Skills
What We Do
BHG Financial is transforming the financial industry; leveraging the power of data, analytics, and cutting-edge technology to become not only the number one source for professional loans, but also the creator of the largest community bank loan and product network in the country.
Since 2001, BHG has originated more than $18.5 billion in loan solutions to top-quality borrowers, which community and midsize banks can access via a state-of-the-art loan delivery platform. Building on nearly two decades of innovation, BHG and its family of brands now offer a full suite of financial solutions that span business, consumer, and SBA 7(a) loans, credit cards, collection services, risk management services, and point-of-sale financing.
With record growth year after year, BHG continues to be recognized regionally and nationally: earning a spot on the Inc. 5000 for 16 years running, and receiving accolades from Great Place to Work® and Fortune magazine, among others. BHG is partially owned by Pinnacle Bank (PNFP) and has headquarters in Davie, FL, Syracuse, NY and Atlanta, GA.
Why Work With Us
BHG Financial cultivates a high-energy atmosphere in an open-door, non-traditional corporate environment. As a growing company of more than 1500, it's the perfect place to share your ideas and advance your career.








