Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible.

Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing.

Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners.

Octane is currently seeking a bright and resourceful Senior Risk Analyst to join the Collections Strategy team at Octane. This position will be responsible for developing collection strategies for multiple products. You will get to work cross-functionally with several departments to work towards business goals. This individual will put their data analytics skills to work by identifying key drivers of loss and deviations in estimation techniques and determine opportunities for successful improvement. This role is open to a hybrid schedule in our NYC or Dallas location, but also open to being entirely remote.

Specifically, you will:

• Develop collections strategy for multiple products to optimize loss mitigation and revenue recovery while minimizing operational costs for the business.
• Perform advanced data analytics to identify drivers of loss and deviations in estimation techniques and proactively identify improvement opportunities.
• Design reports to track KPIs around operational execution, strategy performance, collector performance, and changes to the risk profile.
• Develop business insights and communicate proposals to senior management.
• Maintain quality control and validate that the risk processes are working as expected.
• Work cross-functionally with servicing, data science, and products to produce better business outcomes.
• Improve sophistication and technical implementation of current approaches.

Requirements:

• A BS degree in a quantitative field such as statistics, econometrics, decision sciences, or engineering (advanced degree preferred)
• Good overall understanding of consumer credit and lending
• Minimum 3 years of experience performing credit analysis, including experience with data visualization tools such as Tableau/ Power BI
• Exceptional hands-on experience in Python, SQL, and Excel
• Experience taking analyses from raw data to polished recommendations and communicating complex, technical findings to broad audiences
• Strong written and oral communication skills

Compensation:

The role described above offers a base salary of $100,000 to $120,000. Your offer will be based on the alignment of your qualifications with the requirements of the job and internal equity. In addition to the above-mentioned salary, Total Rewards include a stock option package, and benefits as outlined below.

Benefits:

• Robust Health Care Plans (Medical, Dental & Vision)
• Generous Parental Leave
• Up to 5 weeks time off (self-managed)
• Retirement Plan (401k) with company match!
• Educational Assistance/Tuition Reimbursement up to $3K/year
• Life Insurance (Basic, Voluntary & AD&D)
• Short Term / Long Term Disability
• Robust Ancillary benefits including accident insurance, hospital insurance, etc
• Wellhub (Gympass) Wellness Benefit
• Powersports Safety Benefit

Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment.

Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

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