Kapitus is one of the most reliable and respected names in small business financing. As both a direct lender and a marketplace of trusted lending partners, we provide small businesses the funding they need, when and how they need it.

We have spent the past 15 years building a culture that makes us excited to come to work in the morning. Our company is fast paced, teammates need to be self-directed and have an internal motivation to do the right thing, even when the right thing takes a lot of hard work.

We show our teammates our appreciation by offering great benefits, competitive pay, and solid opportunities for growth.

RESPONSIBILITIES:

• Build predictive models including but not limited to marketing, credit risk, fraud, and offer acceptance propensity.
• Collaborate to build a Marketing prospect database, and associated models and campaign designs.
• Work with the Risk team to implement policy and pricing decisioning rules.
• Perform through testing and validation of models and support various aspects of the business with data analytics, I.e., experience with data and model governance.
• Identify new data sources/patterns that add significant lift to predictive modeling capabilities; ideally come in with existing knowledge about relevant datasets/services to leverage.
• Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes, I.e., be up to date on data science research (papers and libraries); be able to build and evaluate models yourself.
• Conduct analysis and turn insights into actionable changes for predictive models or policies; have experience identifying and prioritizing the business impact.
• Recommend ongoing improvements / tuning to methods and algorithms currently in use/production.
• Deliver informative and effective findings, results, and recommendations from statistical analysis to stakeholders, both technical and non-technical audiences.
• Effectively mentor non-statistical programming peers about statistical programming practices.

QUALIFICATIONS:

• MS in Statistics, Economics, Finance, Survey Research or another related quantitative field.
• Strong understanding of Computer Science fundamentals.
• 4+ years Statistics/data modeling in an applied context.
• Proven track record of building new models and improving existing models.
• Strong attention to detail; excellent communication and project management skills.
• Thorough understanding of statistical modeling techniques.
• Advanced Python or R; we are a primarily-Python shop.
• Exploratory data analysis and visualization.
• Experience with marketing mix modeling, digital attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting.
• Have a portfolio (e.g., website, github, paper references, etc.) of papers, visualizations, or software.

DESIRABLE EXPERIENCE:

• Profession experience at a financial services organization
• Econometric modeling, traditional modeling techniques (regression, tree-based models), deep learning
• Agile, Scrum experience
• Salesforce, HubSpot
• Strong SQL; we primarily use MySQL
• Big data: e.g., competence with Spark, Redshift or Snowflake
• Linux, AWS

WORK LOCATION IS FLEXIBLE IF APPROVED BY THE COMPANY EXCEPT THAT THE POSITION MAY NOT BE PERFORMED REMOTELY FROM COLORADO.