![https://static.builtin.com/cdn-cgi/image/f=auto,fit=scale-down,w=200,h=200/companies-assets/89906/logo/6e70f456-9ddf-45aa-ac71-6bc8ce112f09/Kikoff%20Icon%20-%20Rounded%20[CITRUS].png Logo](https://static.builtin.com/cdn-cgi/image/f=auto,fit=scale-down,w=200,h=200/companies-assets/89906/logo/6e70f456-9ddf-45aa-ac71-6bc8ce112f09/Kikoff%20Icon%20-%20Rounded%20[CITRUS].png){kind=logo}
Kikoff: A FinTech Unicorn Powering Financial Progress with AI
At Kikoff, our mission is to provide radically affordable financial tools to help consumers achieve financial security. We're a profitable, high growth FinTech unicorn serving millions of people, many of whom are building credit or navigating life paycheck to paycheck. With innovative technology and AI, we simplify credit building, reduce debt, and expand access to financial opportunities to those who need them the most. Founded in 2019, Kikoff is headquartered in San Francisco and backed by top-tier VC investors and NBA star Stephen Curry.
Why Kikoff:
This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.
As a Senior Data Scientist at Kikoff, you work closely with cross functional teams incl. Product, Engineering, Design, Data Engineering, Marketing, Operation. By applying your technical skills, analytical mindset, and product intuition, you will help our customers improve their financial security. You will use data to identify and solve product development’s biggest challenges. Your responsibilities includes:
- Product leadership: use data to shape product development, identify new opportunities, set goals, quantify upcoming challenges, and ensure the products we build bring value to our customers.
- Measurement excellence: define what success means to our users and our business, build scalable framework to measure them.
- Technical ownership: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches, causal inference / ML methodologies, and experimentation best practices to validate them.
- Communication and influence: convince and influence your partners by telling clear data stories.
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- A minimum of 5 years of work experience in analytics
- Experience leading data science for an ambiguous and fast-changing product or technical area, working with senior partners in leadership, product, engineering
- Expert knowledge of SQL and experience with Python
- Deep understanding of statistical analysis, experimentation design, common ML and causal inference techniques
- Excellent verbal and written communication skills
- A humble collaborative can-do attitude and bias to action
- Enthusiasm and comfort with using AI in analytics or for fintech problems
- Experience with Machine Learning especially in a production environment
Equal Employment Opportunity Statement
Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Please reference the following for more information.
Skills Required
- Bachelors or above in quantitative discipline
- A minimum of 5 years of work experience in analytics
- Expert knowledge of SQL and experience with Python
- Deep understanding of statistical analysis and ML techniques
Kikoff Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kikoff and has not been reviewed or approved by Kikoff.
-
Healthcare Strength — Employer-paid employee medical, dental, and vision premiums are highlighted across postings and benefits pages. This materially lowers out-of-pocket costs and signals strong core coverage.
-
Wellbeing & Lifestyle Benefits — Daily meals, snacks, fitness benefits, and substantial commuter support are prominently offered. These perks can meaningfully enhance day-to-day experience, especially for in-office or hybrid roles.
-
Retirement Support — A 401(k) with company matching is included in the package. The presence of matching adds long-term financial value even as specific formulas are not publicly detailed.
Kikoff Insights
What We Do
Kikoff is a personal finance platform that offers the simplest credit-building solution out there: $0 fees, 0% interest, and no credit pull. Your credit score is the foundation of your financial health – yet most people don’t have the credit score they deserve. That’s why Kikoff built the most accessible and affordable credit-building solution – it’s also the fastest growing and the top-rated credit building mobile app. Kikoff works whether you’re new to credit or looking for an extra boost. Building credit is just the start; Kikoff is building a personal finance platform designed to help consumers achieve financial wellness. Driven by the co-founders’ and team’s personal experiences, Kikoff’s mission is to provide refreshingly fair, effective, and simple pathways to meet your financial goals. Kikoff is a Series B company and has raised over $42 million in total funding. Investors include Portage Ventures, Lightspeed Venture Partners, GGV, Coatue, Core Innovation Capital, and basketball star Stephen Curry. Kikoff was founded in 2019 and is headquartered in San Francisco, California.
Why Work With Us
We are building an organization that maximizes growth and learning; we are invested in helping you grow and achieve what you want in your career. Our principles include a bias towards action, work in public, first principles thinking, intellectual honesty and extreme ownership.
Gallery
