Data Scientist

February 18

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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iBusiness Funding

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iBusiness Funding is a company that provides tailored funding solutions for small and medium-sized businesses across America. Utilizing their advanced LenderAI platform, they streamline the lending process for both lenders and borrowers, offering a faster and smarter approach to business lending. iBusiness Funding specializes in SBA 7(a) loans, USDA loans, and flexible term loans, offering one application that provides multiple funding options to meet the unique needs of entrepreneurs and financial institutions. Their services cater to small business owners, large corporations, and alternative lenders, featuring innovative technology and sophisticated analytics for data-driven lending decisions.

SaaS • LaaS • Automation • Software Development • FinTech

201 - 500 employees

Founded 2013

💸 Finance

💳 Fintech

🤝 B2B

📋 Description

• Develop and maintain credit risk models and tools to evaluate the creditworthiness of small business loan applicants. • Collect data from various structured and unstructured sources, producing creative new features for use in models. • Carefully monitor model performance and advise on Model Risk Management strategy. • Produce detailed model documentation for stakeholders and regulators. • Work with product teams to deploy models to a cloud environment. • Interact with various stakeholders, providing expert guidance on how best to utilize machine learning to achieve business objectives. • Work with the credit strategy and customer analytics teams to get the most value out of the models built. • Support ad-hoc risk analyses and projects as required.

🎯 Requirements

• Strong analytical background with data-driven decisioning mindset. • A bachelor’s degree in mathematics, statistics, finance or a related field. • A master's degree or professional certification (e.g., CFA, FRM) are a plus. • 2+ years of experience in risk management, data analysis, or a similar role with a focus on deploying production credit risk models, particularly within the financial services or lending industry. • 3+ years of Python experience, specializing in data science and machine learning, with proficiency in libraries such as Pandas, Numpy, and SKLearn. • Proven experienced in collecting and cleaning data from diverse sources using common MLOps tools such as Git, Docker, and AWS. • A collaborative team player with a strong ability to work effectively in remote environments. • Excellent communication skills, especially as it relates to explaining key concepts to a non-technical audience. • Skilled in engaging with multiple stakeholders and managing several projects simultaneously.