Job Description

Salary:

About iBusiness Funding

iBusiness Funding is a leader in providing innovative Software as a Service (SaaS) solutions for banks and lenders, with a specialization in SBA lending. We build scalable lending platforms that streamline the business lending process, allowing lenders to efficiently deliver capital to small and medium-sized businesses.

To date, we’ve processed over $7 billion in SBA loans and handle more than 1,000 business loan applications daily. Our team is driven by our core values of innovation, integrity, enjoyment, and family.

As a top five SBA 7(a) lender, our parent company offers SBA express and small loan capabilities. Join us and be part of a team that’s transforming the finance industry and empowering businesses to thrive!

Role Description:

We are looking for a Data Scientist to join our Decision Sciences team and contribute to the development of credit risk decisioning tools for small and medium-sized businesses.

Major Areas of Responsibility:

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

Required Knowledge, Skills, and Abilities:

1. Strong analytical background with data-driven decisioning mindset.
2. 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.
3. 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.
4. 3+ years of Python experience, specializing in data science and machine learning, with proficiency in libraries such as Pandas, Numpy, and SKLearn.
5. Proven experience in collecting and cleaning data from diverse sources using common MLOps tools such as Git, Docker, and AWS.
6. A collaborative team player with a strong ability to work effectively in remote environments.
7. Excellent communication skills, especially as it relates to explaining key concepts to a non-technical audience.
8. Skilled in engaging with multiple stakeholders and managing several projects simultaneously.

Conclusion:

This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position.

The company is an equal opportunity employer and will consider all applications without regard to veteran status, genetic information, or any other characteristic protected by law.

Remote work