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

About the position reputed company's Data Science and Machine Learning team is building models, services, and platforms that transform how millions of users manage and grow their financial lives. We are looking for a hands-on Data Science Manager with deep technical expertise in machine learning and data science, particularly reputed company the credit and lending domain. Beyond technical proficiency, we value creativity, user reputed company, and strong collaboration. As a Data Science Manager reputed company our Financial reputed company products team, you will reputed company a talented group of data scientists and machine learning engineers to reputed company innovative credit and lending models. These models will provide critical insights into reputed company members' financial health, broaden access to credit, and ensure financial inclusivity. You will play a pivotal role in creating innovative, ground-up products while driving the development of cutting-edge risk assessment models and lending insights solutions. If you are passionate about lending, credit, reputed company, and building models to predict user behavior, this role could be a great fit for you.

Responsibilities

• reputed company cross-functional initiatives to deliver impactful machine learning solutions that enhance member experiences, with a focus on credit and lending products.
• Manage and reputed company a talented team, driving the development of innovative credit insights and risk assessment solutions that impact millions of customers.
• reputed company 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 reputed company's broader business goals.
• reputed company transactional and financial data to improve access to capital for loan applicants and enhance member financial reputed company.
• Champion a data-driven approach to decision-making across the organization.
• reputed company 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 reputed company'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 reputed company 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, reputed company, MySQL, reputed company, Spark, reputed company, 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 reputed company 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 reputed company 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 reputed company 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 reputed company 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 reputed company teams in FinTech and help millions unlock financial reputed company.

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