Data Scientist, Prosper Marketplace
$129-179k
+ Bonus
Online P2P lending marketplace
Be an early applicant
Online P2P lending marketplace
201-500 employees
Be an early applicant
$129-179k
+ Bonus
201-500 employees
Company mission
To advance financial wellbeing by providing affordable financial solutions to consumers across the credit spectrum.
Role
Who you are
- 3 - 6 years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus
- Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
- Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
- Solid understanding of coding best practices and model documentation
- Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
- Strong interpersonal skills – collaborate with people across functions and develop strong relationships
- Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
- Ability to think within regulatory guidelines with a mindset toward reproducible research
- Self-motivated, results-oriented, enthusiastic, and a creative thinker
- We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates
What the job involves
- Prosper is seeking a Data Scientist for the Data Science team under our Credit Risk Analytics vertical.
- You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business
- Build industry-leading machine learning models for managing credit and fraud risks
- Leverage multiple complex data sources such as credit bureau reports and customer supplied information at large scale to optimize approve/decline and credit line assignment decisions
- Collaborate with engineers to deploy your models into a production environment
- Propose and execute solutions to various problems within business constraints
- Use responsible AI technique following regulatory requirements and lending best practices
- Help the team with developing tools and workflow solutions to increase data science productivity
- Actively monitor the credit risk models in production
- Extract the most value out of data to significantly impact our key business metrics
- Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
- Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Application process
- Recruiter Call: A brief screening to discuss your experience and initial questions
- Department Interview: Deeper dive into technical skills and project alignment with the Hiring Manager or team member
- Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercises
- Final Round: Discussion with a department head/executive
Our take
Prosper is a peer-to-peer lending platform, that connects investors with borrowers directly. When it launched in 2005 it was the first of its kind and paved the way for the now crowded peer-to-peer lending market, which includes competitors like Peerform, Upstart, Funding Circle and LendingClub.
The company provides an attractive option by cutting out the middleman and making applications faster, meaning that socially and financially rewarding investments can be made. Prosper is one of the largest and most recognized in this industry, having facilitated billions in loans to over two million borrowers.
In more recent years, Prosper has forged ties with banks to allow it to launch its home equity credit line, indicating a new direction for the company. It continues to develop its offering and remains a force in the market, with no reason it won't continue to succeed.
Freddie
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Sep 2017
$50m
SERIES G
Jan 2013
$20m
LATE VC
Total funding: $153.8m
Company benefits
- Take-what-you-need (paid) vacation for salaried employees
- 20 days of PTO and 7 paid holidays/year for hourly employees
- Stock options
- 401K retirement savings plan with generous matching
- Comprehensive health, dental and vision insurance plans, with options specific to your own health coverage needs
- Prosper Fit - A monthly stipend to use for gym memberships, personal training sessions, yoga and exercise classes, or club sports/fitness fees
- Pre-tax commuter/parking assistance
- Snacks and beverage selections in our kitchen
- Monthly meet-and-greet happy hours
- Perkspot discount programs
- One Medical
- SF Location - Rooftop deck with ping-pong and foosball table
Company HQ
The East Cut, San Francisco, CA
Leadership
David Kimball
(Chairman & CEO)Having studied for an MBA at Brigham Young University, David worked in Management at Ford Motor Company for over 10 years, prior to spending another decade at USAA. He left his role as CFO and COO to join Prosper Marketplace in March 2016 as CEO and Chairman.
Share this job
View 7 more jobs at Prosper Marketplace