Job Highlights:
- Location: Remote
- Start Date: Immediate openings available
- Compensation: Competitive salary ranging from $83,300 - $116,600, plus equity and benefits
- Company: Wisetack, a cutting-edge fintech company revolutionizing consumer lending
About Us:
Wisetack is a pioneering fintech company that's been building transparent and intuitive consumer lending products since 2018. Our mission is to empower service-based businesses to thrive. Backed by leading VCs, including Insight Partners, Greylock, and Bain Capital Ventures, we're a well-funded startup with a strong leadership team from top fintech companies.
Awards and Recognition:
- 2023 Best Consumer Lending Program by Tearsheet
- 2023 Best Point of Sale Product by Fintech Breakthrough
- 2022 Best Consumer Lending Solution by Finovate
- 2022 Best Emerging Lending Platform by Lendit (now Fintech Nexus)
Our Culture:
We're proud of our healthy company culture, with a sky-high NPS rating of 79. Our values guide us in everything we do:
- Put customers first
- Act fast
- Lead the way
- Take ownership
- Be a good human
The Role:
As a Data Analyst in our Treasury team, you'll play a critical role in providing top management with visibility into the company's performance. You'll work with large datasets, design and build processes, perform analyses to drive business decisions, develop controls, and mitigate risk. If you're passionate about making a impact and have a knack for analytics, this is the role for you.
Responsibilities:
- Run finance-related daily operations, including loan originations and secondary market transactions
- Build automation tasks and design new solutions to business initiatives
- Provide new and useful data solutions via dashboards, automated reports, and more
- Empower cross-functional teams with Treasury-related expertise
- Develop and maintain Treasury-specific datasets and data pipelines
- Support the business with ad hoc requests and drive adoption of new processes
Requirements:
- Bachelor's degree in Math, Economics, Statistics, Engineering, Computer Science, or a quantitative field
- 2+ years of professional experience as a data analyst or in a related role
- 1+ years of experience with SQL and Python
- Excellent communication skills and attention to detail
- Self-directed and self-motivated with a customer service mindset
Bonus Points:
- Working knowledge of lending concepts and related processes
- Systems implementation experience
- Experience in venture-backed or high-growth environments
Apply Now:
If you're excited about this opportunity, we'd love to hear from you!
Apply Now
Apply Now