What you’ll do:
Lead the development, deployment, and maintenance of fraud and credit risk rules which make optimal use of ML models and data.
Contribute to the creation and maintenance of reusable data pipelines, focused on feature creation.
Partner with colleagues throughout the organization to identify high-impact opportunities to leverage and utilize models and data to best suit the business needs, including contributing to rules and strategies which balance revenue and risk.
Contribute to the evolution of our data and rules infrastructure to improve efficiency and effectiveness of decision science solutions
Represent the team and Credit Karma in internal and external forums such as executive level presentations, conferences, speaking engagements and meetups, and act as a talent magnet and spokesperson in such forums.
What’s great about the role:
Solve hard, meaningful problems with fun, smart, kind people.
Experience professional growth and encourage growth throughout the team.
Work cross functionally (with executives, engineering, data science, product, analytics, and operations) to ensure efficient and effective use of data in ways that make an immediate and substantial impact
Minimum Basic Requirement:
2+ years of analytics experience
BS/MS in Math, Statistics, Economics, Engineering, Data Science, Computer Science, Natural Sciences or a related quantitative discipline
1+ years of experience with SQL
1+ years of experience with statistical analysis
1+ years of experience with A/B testing and experimentation or with data visualization tools such as Looker/Tableau
Strong problem-solver, communicator and collaborator able to identify opportunities for growth or improvement to advance the goals of both our members and our business
Ability to independently thrive in a fast-paced, dynamic, and often ambiguous work environment
Fast learner
Preferred Qualifications:
Work experience with data-driven strategy design and optimization
Ability to quickly develop an understanding of large, complex datasets
Fintech, financial services, consulting or a similar strategic or analytical experience
Relevant work experience in credit risk and/or financial fraud risk, with an understanding of payment systems, money movement products, and banking, finance, credit bureau, and fraud detection data
Work experience with public cloud platforms (especially GCP), Apache airflow, or Git
Experience in MLOps infrastructure and tooling including building efficient and reusable data pipelines
Knowledge of Python
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.
Please contact if you are interested in employment with Credit Karma and need special assistance or an accommodation to either apply or interview for a specific role.
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