Data Scientist (1099)

100% Remote - contract (1099)

Core10 is looking for a Data Scientist with experience in software development, quantitative development, capital markets, insurance and financial services/FinTech.

Core10, founded in 2016, is a rapidly growing U.S.-based provider of lending, account opening, and BaaS products, as well as software development services. Headquartered in Nashville, TN, Core10 is the trusted, easy button partner for banking digital transformation and innovation. The company's Accrue platform provides an omnichannel digital lending and deposit account opening solution to help elevate and streamline banking operations. Its Mesh middleware layer gives banks a flexible, modern infrastructure to connect their entire technology ecosystem with their core. Supporting their product lines, Core10's professional services team has years of experience building APIs and core connectivity as well as custom software product development.

Requirements

What you'll Do:

• Collaborate with cross-functional teams to understand business requirements and design an efficient 'optimizer' ML model.
• Develop and implement machine learning algorithms to analyze data from Aurora DB and provide optimal solutions on asset allocation back to Aurora DB.
• Fine-tune and optimize the model's performance to ensure accurate and efficient recommendations.
• Work closely with engineers to integrate the ML model into our software infrastructure, ensuring seamless data flow and reliable output.
• Monitor and maintain the model's performance over time, making necessary updates and improvements.

• Investigate, Research and assess why a solution is what it is.
• Work and collaborate with business users to test results.

Qualifications & Experience:

• Very strong background in Math, Software Engineering, Quantitative development
• 5+ years experience as a Data Engineer, Data Scientist or Quantitative Developer
• Familiarity with Optimization methods, especially constrained optimization, Calculus and Linear Algebra
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proven experience in designing, developing, and deploying machine learning models, preferably in the finance or banking domain.
• Strong proficiency in programming languages such as Python and experience with machine learning frameworks.
• Solid understanding of data processing, feature engineering, and model evaluation techniques.
• Experience working with relational databases (e.g., Aurora DB) and SQL for data retrieval and manipulation.
• Excellent problem-solving skills and the ability to translate business requirements into actionable technical solutions.
• Effective communication skills to collaborate with diverse teams and present findings to both technical and non-technical stakeholders.

Bonus Points:

• Familiarity with Optimization libraries
• Fintech or Banking experience
• Advanced degree (Ph.D.) in a relevant field.
• Previous experience with financial modeling, asset allocation, or investment strategies.
• Familiarity with cloud platforms and services (e.g., AWS, GCP) for scalable model deployment.
• Contributions to open-source ML projects or publications in relevant conferences/journals.

Benefits

• Work From Home (100% remote!)