Goldman Sachs
Platform Solutions, Enterprise Partnerships RICHARDSON-VP, Fraud Modeling / Data
Goldman Sachs, Richardson, Texas, United States, 75080
Platform Solutions, Enterprise Partnerships RICHARDSON-VP, Fraud Modeling / Data Science Lead
Pay Competitive Employment type Full-Time Job Description
Req#: 109030
Platform Solutions, Enterprise Partnerships – Fraud Modeling / Data Science Lead, Richardson, TX Platform Solutions In Platform Solutions (PS), we power clients with innovative and customer-centered financial products. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. PS is comprised of four main businesses, underpinned by engineering, operations, and risk management: Transaction Banking , a cash management and payments platform for clients building a corporate treasury system Enterprise Partnerships , consumer financial products that companies embed directly within their ecosystems to better serve their end customers Merchant Point-of-Sale Lending , a platform that provides custom credit financing for home improvement merchants to offer directly to their customers ETF Accelerator,
a platform for clients to launch, list and manage exchange-traded funds Join us on our journey to deliver financial products and platforms that prioritize the customer and developer experience Responsibilities and Qualifications Your Impact You will be part of the data science function for Enterprise Partnerships. You are going to lead a technical team of data scientists to detect fraudsters and fraud events at scale with ML models and data-driven insights. You will be at the forefront of a data-driven initiative to optimize decision-making, improve customer experience and save millions of dollars for business. We have a fast-paced result driven culture and we are looking for individuals who are proactive and can work with a sense of urgency. The candidate should have a sense of ownership and should be able to drive results independently while working on multiple concurrent projects. Job Summary and Responsibilities Improve business decision-making capabilities by providing actionable data-driven insights into fraud events Reduce fraud loss while increasing customer satisfaction by building ML models/algorithms and data-driven product features Reduce the time spent creating insight and ML models by scaling platforms Plan, prioritize and lead multiple projects, partnering with multiple stakeholders across products, risk teams, engineering, operations, tech risk, and second-line functions Align our data products with our business goals Spot and evaluate emerging/cutting edge, open source, data science/machine learning libraries/big data platforms Communicating updates back to the business, such as KPIs from the data science team, the team’s short- and long-term goals and vision to help them gain buy-in from other business units QUALIFICATIONS Two+ years of experience in managing fraud risk Six+ years of proven experience as a lead data scientist or similar role Solid understanding of machine learning, statistical analysis Good knowledge of big data management, visualization techniques, and modern technology stack Experience with software development in a team setting, using Python and Spark Experience with developing and deploying ML models in production Excellent communication skills and a business mindset ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html The Goldman Sachs Group, Inc., is an American multinational investment bank and financial services company headquartered in New York City. Notice
Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000. Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility. An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.
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Pay Competitive Employment type Full-Time Job Description
Req#: 109030
Platform Solutions, Enterprise Partnerships – Fraud Modeling / Data Science Lead, Richardson, TX Platform Solutions In Platform Solutions (PS), we power clients with innovative and customer-centered financial products. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. PS is comprised of four main businesses, underpinned by engineering, operations, and risk management: Transaction Banking , a cash management and payments platform for clients building a corporate treasury system Enterprise Partnerships , consumer financial products that companies embed directly within their ecosystems to better serve their end customers Merchant Point-of-Sale Lending , a platform that provides custom credit financing for home improvement merchants to offer directly to their customers ETF Accelerator,
a platform for clients to launch, list and manage exchange-traded funds Join us on our journey to deliver financial products and platforms that prioritize the customer and developer experience Responsibilities and Qualifications Your Impact You will be part of the data science function for Enterprise Partnerships. You are going to lead a technical team of data scientists to detect fraudsters and fraud events at scale with ML models and data-driven insights. You will be at the forefront of a data-driven initiative to optimize decision-making, improve customer experience and save millions of dollars for business. We have a fast-paced result driven culture and we are looking for individuals who are proactive and can work with a sense of urgency. The candidate should have a sense of ownership and should be able to drive results independently while working on multiple concurrent projects. Job Summary and Responsibilities Improve business decision-making capabilities by providing actionable data-driven insights into fraud events Reduce fraud loss while increasing customer satisfaction by building ML models/algorithms and data-driven product features Reduce the time spent creating insight and ML models by scaling platforms Plan, prioritize and lead multiple projects, partnering with multiple stakeholders across products, risk teams, engineering, operations, tech risk, and second-line functions Align our data products with our business goals Spot and evaluate emerging/cutting edge, open source, data science/machine learning libraries/big data platforms Communicating updates back to the business, such as KPIs from the data science team, the team’s short- and long-term goals and vision to help them gain buy-in from other business units QUALIFICATIONS Two+ years of experience in managing fraud risk Six+ years of proven experience as a lead data scientist or similar role Solid understanding of machine learning, statistical analysis Good knowledge of big data management, visualization techniques, and modern technology stack Experience with software development in a team setting, using Python and Spark Experience with developing and deploying ML models in production Excellent communication skills and a business mindset ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html The Goldman Sachs Group, Inc., is an American multinational investment bank and financial services company headquartered in New York City. Notice
Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000. Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility. An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.
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