Manager - Data Science

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express

Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment.

We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams.

Key activities for the role will include:

• Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators.
• Owning the architecture and roadmap of the models and tools from ideation to productionizing
• Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence
• Champion governance, interpretability of models from validation point of view
• Lead R&D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks 
• Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping
• Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions

Qualifications:

·Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results

·Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy

·Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects

·Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus

·Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent)

·Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent)

·Experience in building NLP solutions and/or GEN AI are strongly preferred

·Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously.

·Team player with strong relationship building, management and influencing skills

·Strong verbal and written communication skills