Manager, Data Science & AI/ML - Credit Risk & Lending

About the positionResponsibilities• Lead cross-functional initiatives to deliver impactful machine learning solutions that enhance member experiences, with a focus on credit and lending products. • Manage and inspire a talented team, driving the development of innovative credit insights and risk assessment solutions that impact millions of customers. • Oversee the end-to-end development and deployment of advanced machine learning models to improve the accuracy, fairness, and inclusivity of credit assessments.• Collaborate with Legal and compliance in regards to fair lending practices and model governance. • Play a key role in shaping the credit team's strategic direction and ensuring alignment with Chime's broader business goals. • Leverage transactional and financial data to improve access to capital for loan applicants and enhance member financial security. • Champion a data-driven approach to decision-making across the organization. • Make critical long-term decisions regarding machine learning processes and best practices.• Collaborate with product managers, engineering, and other stakeholders to shape the product roadmap and define project goals. • Directly contribute to Chime's success by delivering data science solutions that improve both customer satisfaction and business outcomes. Requirements• 7+ years of industry experience developing machine learning models for credit risk products from inception to production, with a proven ability to tailor solutions to real-world business challenges in a cross-functional environment.• 5+ years of managerial experience in data science and machine learning, with a track record of leading teams to deliver impactful solutions. • Strong expertise in credit and lending risk assessment, with experience building and deploying models that meet regulatory requirements with respect to model governance and fair lending. • Deep understanding of modern AI/ML techniques, including classification, clustering, optimization, deep learning, and natural language processing. • Excellent product intuition and a passion for working iteratively in a fast-paced environment.• M.S. or Ph.D. in Machine Learning or a related STEM field, with hands-on experience building production ML pipelines, from development to deployment, at scale. • Proficiency in Python and intermediate to advanced knowledge of SQL, with the ability to wrangle data from diverse sources. • Experience with technologies such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, and Looker. • Exceptional communication and collaboration skills, with experience working with stakeholders across product, design, engineering, and marketing.Benefits• A thoughtful hybrid work policy that combines in-office days and trips to team and company-wide events depending on location to ensure you stay connected to your work and teammates, whether you're local to one of our offices or remote. • Hybrid work perks like backup child, elder and/or pet care, as well as a subsidized commuter benefit. • Competitive salary based on experience. • 401k match plus great medical, dental, vision, life, and disability benefits. • Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off.• 1% of your time off to support local community organizations of your choice. • Annual wellness stipend to use towards eligible wellness related expenses. • Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents. • Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more. • In-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!• A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress. Apply tot his job