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.
Senior Analytics Engineer, Finance
Kikoff is a high-growth fintech startup building products to create fair, effective, and simple financial pathways to help 100M Americans reach their financial goals. Investors include Lightspeed, Coatue and GGV. Our founders are serial entrepreneurs who co-founded and served as C-suite executives.
Skip the bureaucracy of a big company and work with a seasoned team. We balance best practices from our experience in post-IPO companies with the familiar intuition that comes from pre-IPO zero-to-one work.
You will:
Build and maintain data pipelines and models that power finance reporting, transforming raw data into reliable, well-documented datasets using tools like dbt and Dagster.
Design and automate financial reporting workflows, replacing manual processes with scalable, self-service solutions for accounting, FP&A, and capital markets teams.
Collaborate across finance and engineering to translate business requirements into technical specifications and maintain data accuracy across systems.
Drive data reconciliation efforts between internal systems, external vendors, and the general ledger—identifying discrepancies and implementing automated validation checks.
Develop and maintain key financial metrics and dashboards that provide ongoing visibility into product and business performance.
Support capital markets efforts by building reliable, repeatable processes for loan tape generation and lender reporting requirements.
Partner cross-functionally with product, marketing, and operations to deliver data-driven insights that optimize financial projections and inform decision-making
Champion data quality and documentation, ensuring reporting solutions are accurate, reliable, and performant.
We’re looking for someone who has:
Bachelor's or above in a quantitative discipline: Computer Science, Engineering, Statistics, Economics, or related field
2+ years of work experience in analytics engineering, data engineering, or a related role. 4 years of experience preferred.
Strong SQL skills; experience with data transformation tools like dbt is a plus.
Proficiency in Python for data manipulation and automation.
Experience with modern data stack tools such as Snowflake, Dagster | Airflow, Metabase, and Amplitude, with a demonstrated ability to create actionable insights from data.
A track record of building automated reporting solutions that reduce manual work and improve data accessibility
Attention to detail and the ability to work with large datasets to uncover meaningful patterns and trends.
Intellectually curious and self-driven to learn more in an unstructured environment.
Prior experience working with finance teams is a plus but not required.
Project management and organizational skills, with the ability to manage multiple priorities and meet deadlines.
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.
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