What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets
Our division works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or structuring an initial public offering, we handle projects that help clients at major milestones. We work with corporations, pension funds, financial sponsors, and governments and are team of strong analytical thinkers, who have a passion for producing out-of-the-box ideas.
Transaction Banking (“TxB”) facilitates the storage and movement of value globally. As a strategic priority for Goldman Sachs, we are building a modern and digital-first solution to serve our clients. Our business combines the strength, heritage, and expertise of a 150-year-old firm with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide a best-in- TxB’s Risk Management team oversees all risks across TxB globally. Potential candidates will have a bird’s eye view of an exciting new business and the opportunity to work closely with TxB and GS leadership teams. They will also have a view into all TxB products, new business initiatives, go-to-market strategies, client interactions, regulatory dynamic and the full spectrum of business risks and controls.
As Head of Fraud Prevention for Transaction Banking at Goldman Sachs, you’ll lead our anti-fraud efforts for the Transaction Banking Business. This includes but is not limited to payments, cyber, credit, and account related fraud prevention product development. You will partner with engineering to build our fraud prevention features and roadmap for our product set; work with our risk, operations, and financial crimes compliance to help the business scale from a process perspective; and leverage data science to build an engine that can detect and prevent fraud in an automated fashion.
In this role, you will:
Build and deliver a comprehensive machine learning roadmap across bank customer life cycle from account opening to account management that enables customer base growth and move and hold money globally while preventing fraudulent activity
Partner with senior leaders and partner teams in problem framing and conception of ideas, develop consensus and execute on the machine learning agenda
Work with a data science team and build machine learning models through all phases of development, from design, testing, data gathering, training, evaluation, validation, and implementation
Partner with a cross-functional team of product managers, software engineers, and business analysts to launch machine learning solutions into production
Actively identify and manage model risks in line with model risk management policies
Identify, evaluate, and deploy new algorithms, data strategies, testing strategy, and implementation capabilities to drive continuous innovation
The Ideal Candidate is:
A Leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond
Candidate MUST have experience building payments fraud detection tools with applications such as Feedzai, Actimize, etc.
Achiever. You at ease in a fast pace environment defending against fraud and are driven for action and get things done
Experienced. You’ve built machine learning models over TB scale data, validated them, back tested them and know what it takes to launch them in a real-time production environment
Team oriented: You excel at partnering with cross functional teams to champion the field of data science achieve collective goals
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
Bachelor’s or Master’s Degree plus 5 years of experience in product management, data analytics, or risk management
PhD in Computer Science (Machine Learning, Statistics, Math or equivalent) plus 5 years of experience in data analytics
At least 5 years of experience applying machine learning to solve complex problems for large scale applications
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
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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity