Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Commuter Benefits
•Wellness perks
•Paid Time Off
•Learning Budget
•Healthcare
•401k
•Equity
•Commuter
•Learning
Required Skills
Statistical analysis
Data modeling
Credit risk modeling
Data analysis
Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.
Banking services provided by MVB Bank, Inc., Member FDIC
Credit Karma’s fast growing Partner Decision Science team is seeking an experienced Data Scientist or Data Analyst with Credit Risk Modeling support background. This role will allow a motivated individual to be an early member of a growing team who will work closely with our bank and Fintech partners to build and optimize targeting models on the Credit Karma platform. By doing this they will drive significant revenue for Credit Karma and its partners, while providing approval certainty for consumers. This is one of the most significant strategic initiatives at Credit Karma that will change the trajectory of the company and its industry.
What you'll do:
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Be the critical bridge between banking / fintech partners and the Credit Karma data science platform. Help some of the biggest financial institutions in the country work with the CK modeling platform and meet all data requirements for banking / fintech partners
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Work hand-in-hand both with the internal data science teams, as well as partner risk science teams to integrate and build decision science models on the CK platform
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Build strong relations with data science teams at financial institutions, ranging from VP-level executives all the way to hands-on data scientists
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Thoroughly understand the capabilities of the Credit Karma machine learning platform, and help drive requirements and directly enhance Karma s capabilities
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Optimize and guide the partner model building and analytics process, in order to achieve optimal results. Coach partner risk teams on machine learning capabilities provided by the CK platform, providing advocacy for partners within Credit Karma and vice versa
Minimum Basic Requirements:
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Degree (Bachelors or Masters) in Statistics, Math, Data Analytics or a relevant quantitative discipline
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Approximately 5 years of experience in statistical analysis, modeling, or data analysis, preferably related to one or more of: credit and underwriting, customer segmentation and marketing analytics, or customer valuations
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Minimum of 3 plus years of experience building, implementing, or utilizing complex models in a financial risk / data science environment
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Experience with consumer credit data
Preferred Qualifications:
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Strong knowledge of Python, SQL, or similar industry standard tools used for large-scale data analysis and modeling.
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Experience and/or interest in machine learning techniques
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Experience interfacing with teams at Financial institutions
Benefits include:
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Medical and Dental Coverage
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Retirement Plan
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Commuter Benefits
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Wellness perks
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Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
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Education Perks
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Paid Gift Week in December
Equal Employment Opportunity:
Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws.
Credit Karma is also committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We’ve worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated.
Privacy Policies:
Credit Karma is strongly committed to protecting personal data. Please take a look below to review our privacy policies:
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About Credit Karma

Credit Karma
AcquiredCredit Karma is an American multinational personal finance company founded in 2007. It has been a brand of Intuit since December 2020.
501-1,000
Employees
San Francisco
Headquarters
Reviews
3.5
10 reviews
Work Life Balance
4.0
Compensation
3.5
Culture
3.2
Career
2.5
Management
3.0
65%
Recommend to a Friend
Pros
Great team culture and helpful people
Excellent benefits and work-life balance
Free snacks and office amenities
Cons
Culture changed after founder left
Limited opportunities for contractors
Work not challenging or groundbreaking
Salary Ranges
42 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Director
Junior/L3 · Business Intelligence Engineer III
3 reports
$215,827
total / year
Base
$166,021
Stock
-
Bonus
-
$185,860
$215,827
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Behavioral Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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