Data Scientist, Parafin
Underwriting
$200-260k
+ Equity grant
Embedded financial services for SMBs
Open for applications
Embedded financial services for SMBs
21-100 employees
Open for applications
$200-260k
+ Equity grant
21-100 employees
Company mission
To democratize access to growth capital.
Role
Who you are
- You are an effective generalist who partners well with engineering, product, and business functions
- You have deeper experience in at least one area of data science
- You communicate very well with both technical and nontechnical partners
- You have a strong grasp of statistics and the fundamentals of machine learning
- You care deeply about the quality and correctness of your work
- You take initiative and can own and drive large projects independently
- You are comfortable managing competing and shifting priorities
- You are excited about working on a small team and setting the foundations for data science at Parafin
- You have over five years of work experience as a data scientist
- You are experienced with Python
- You have a graduate degree in statistics, engineering, math, computer science, or a related technical discipline
Desirable
- Experience with credit risk modeling
- Experience with time series
- Experience with SQL
- Doctorate
What the job involves
- You will turn unstructured business opportunities into data science problems and define plans for analysis, metric development, and modeling
- You will develop roadmaps for areas of work, scope related projects, and drive execution primarily through individual contribution and also by drawing on other team members
- You will identify new, high impact opportunities for the data science team to drive the business forward with new data sets, models, processes, and team members
- You will use your judgment to apply tools appropriate to the stage and impact of the problem at hand, be they heuristic rules, inferential techniques, or machine learning
- You will help scale the Parafin team by hiring exceptional talent
Our take
Parafin is a fintech platform helping SMBs access growth capital. It targets platforms where SMBs sell and transact and offers an embedded finance solution with which these platforms can offer loans ranging from $500 to $10M. Parafin provides the capital for these loans and assumes the risk, allowing platforms to offer competitively attractive incentives to help them draw in a larger proportion of the growing SMB market.
Parafin’s focus on SMB growth funding is canny. Most worldwide businesses fall into the SMB category, but funding access for these businesses shrunk dramatically post-pandemic when traditional banks became more conservative with their loan approvals. This exacerbates SMB cash-flow issues, which reportedly already account for more than four in five SMB failures.
This means Parafin is helping platforms fill a growing and crucial market niche. With leadership from former Robinhood employees, confident funding from major players including the founders of Robinhood, DoorDash, and Plaid, and partnerships with Amazon, Parafin looks poised to net a substantial and lucrative market.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Aug 2022
$60m
SERIES B
Sep 2021
$30m
SERIES A
Total funding: $90m
Company benefits
- Health, dental, & vision
- 401k plan
- Parental leave
- Unlimited PTO
- Commuter benefits
- Free in-office lunches
- Mental health & well-being
- Special recognition
Company values
- Empathy: Be kind and open minded
- Efficiency: be results-oriented
- Accountability: Show up and be responsible
- Intellectual Honesty: Seek truth and give feedback
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Sahill Poddar
(Co-Founder & CEO)Completed a PhD in Particle Physics at CERN, before working as a Data Scientist with LiquidM and Facebook, then finally heading up Machine Learning Engineering at Robinhood.
Ralph Furmaniak
(Co-Founder)Completed a PhD in Analytic Number Theory at Stanford, before working as a Robinhood Data Scientist, and then as Chief Scientist at Numerai.
Vineet Goel
(Co-Founder & CPO)Worked as a Carnegie Mellon Teaching Assistant, before moving into a Software Engineer role at Quantifind, and then heading up Risk and Fraud Engineering at Robinhood.
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