Experienced Data Science Manager - Credit Risk

Key Skills

Credit Risk, Data science techniques, GTM, Leadership Skill, Machine learning techniques

Job Description

You’ll be an Engineering Manager under the central Machine Learning team but embedded on the Credit product, leading a talented group of data scientists and machine learning engineers to build B2B credit insights products used by lenders to conduct credit risk assessment. In this role, you will drive initiatives to broaden, make more inclusive, and make more affordable access to credit for individuals. You will be instrumental in leading the team to build new, zero-to-one products and delivering top-tier risk assessment and lending insights solutions for both lenders and consumers. If you're interested in lending, credit, underwriting and building models to predict behavior, let's chat!

Responsibilities

• Lead and inspire a talented team, driving the delivery of innovative credit insights solutions that directly impact customers.
• Oversee the development and deployment of advanced machine learning models to enhance the accuracy and fairness of credit assessments, supporting the launch of new products.
• Play a crucial role in defining and executing the credit team’s strategic initiatives.
• Utilize billions of transaction features to help loan applicants access capital and improve consumers' financial account safety and security.
• Champion a data-first approach to decision-making across the organization.
• Make long-term decisions on machine learning and data science iteration processes.
• Partner with product managers, GTM, and other stakeholders to shape the product roadmap and project goals.
• Directly contribute to the company’s success and customer satisfaction.
• Enjoy a hybrid work model that supports work-life balance and flexibility.

Qualifications

• 10+ years of industry experience developing machine learning models from inception to business impact. Proven ability to tailor your solutions to business problems in a cross functional team
• 5+ years of experience in DS/ML managerial role.
• Experience with credit and lending risk assessment.
• Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimization, deep neural network and natural language processing.
• Strong product intuition and excitement to work fast and iteratively.

$251,640.00 - $360,000.00 per year

Target base Salary for this role is $251,640 - $360,000 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.