New York, NY, 10176, USA
7 days ago
Manager-Data Science
**Description** **You Lead the Way. We’ve Got Your Back.** With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex. 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 in 2024 and 2025. 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:** + Identify opportunities to build a models to predict, and/or detect process breakdown + Build/enhance machine learning algorithm to apply to customer complaints / chats to identify operational breakdown and remediate at earliest time possible + Lead a 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 + Manage the development and maintenance of analytical / statistical algorithm that is currently used to detect out-of-pattern trend + Communicate the technical algorithm to diverse partners + Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights + Collaborate with Data Engineers, to implement the novel ML algorithms in production **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 3-4 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 **Qualifications** Salary Range: $90,000.00 to $165,000.00 annually bonus benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: + Competitive base salaries + Bonus incentives + 6% Company Match on retirement savings plan + Free financial coaching and financial well-being support + Comprehensive medical, dental, vision, life insurance, and disability benefits + Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need + 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy + Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) + Free and confidential counseling support through our Healthy Minds program + Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site . At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement. If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters. **Job:** Risk **Primary Location:** US-New York-New York **Schedule** Full-time **Req ID:** 24019557
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