Description Senior Director, Data Science Team Data Science Department
Job Description: Leader of the team. This role is critical in bringing together the scope of machine learning projects across CME, including cloud-based projects (GCP, AWS), Marketing, BLM, and CD&S. This will make the team immediately more multifaceted to deliver more analytics to customers and stakeholders. Critical leader in orchestrating adoption of machine learning across the Commercial Division and ultimately into the hands of customers. This role will manage the team's analytical agenda, leading initiatives, providing direction, assigning resources, directing work, following up, and communicating with senior business leaders across the company and discussing client-facing results with clients. Examples of areas that need focused, additional resources to build and deliver cloud-based machine learning are Actionable Insights (Marketing), GIA Innovation Pillar, BTEC Customer Analytics (BLM), and Global Sales Desk (CD&S). These are multi-year initiatives that should revolutionize how we scale and create value for customers and drive revenue.
Responsibilities: Lead the team's efforts to perform cloud-based machine learning to create solutions, solve problems, identify opportunities, risks, and trends. Communicate with senior leadership across stakeholders. Be a major contributor to the thought leadership interactions with business units and clients as it relates to client, trading, market, and digital analytics, especially combining those datasets for holistic analysis and fuller pattern recognition. Drive the evolving enterprise-level machine learning roadmap. Deliver machine learning for in-scope projects for customer-focused cloud-based analytics and business units.
Lead team efforts to deliver the following:
Collaborate with stakeholders and technology providers (Marketing, BLM, CD&S, Google Cloud, CME Technology, and 3rd-party vendors) on initiatives. Plan, resource, and coordinate the deliverables. Operationalize machine learning on Vertex AI ML Ops platform, unlocking value for CME, its customers, and stakeholders. Lead large, multi-faceted analytical projects, managing the tasks and resources to deliver valuable insight or capabilities. Use product and market knowledge to lead scoping discussions with business units and apply team analytical skills to deliver results. Lead interactions with stakeholders to proliferate understanding, incorporate feedback, refine analytical agenda and deliver output. Lead the team to perform machine learning on clients and products market structures to identify and understand opportunities, risks, and trends. Make presentations to leadership stakeholders on analysis performed. As a thought leader, participate and lead client discussions and communicate analysis performed to inform clients and further their understanding of CME Group markets. Be a strategic stakeholder and collaborator with technology providers on how we build the right infrastructure and processes to become an agile company and deliver the capabilities we need to perform analytics faster and more efficiently. Ensure the team stays current with leading edge systems, methods, and best practices for data science, machine learning, and cloud capabilities.
Education & Experience
8-12 years of business, analytical, and technical experience
BS/BA in Business, Engineering, Mathematics, Computer Science or equivalent experience utilizing a different BS/BA degree
MS in Applied Statistics, Statistics, Computer Science, or advanced Math, Engineering, or CFA Charter
Expertise in cloud-based technologies such as Google Cloud Platform, AWS, or Azure
Ability to create code and perform machine learning
Advanced communication and organizational skills
Advanced knowledge of capital markets, derivative products, and trading technologies
Advanced skills in programming and coding (e.g. R, Python, SQL, or Java)
Advanced data analytics skills
Advanced ability to translate and relate IT terminology to business needs
Knowledge and familiarity with Tableau, Looker, InfoSource, and Qlikview
Knowledge and familiarity with Google Cloud Platform and AWS
Not be afraid of hard work and doing things smarter, taking initiative and providing leadership
Experience with Vertex AI ML Ops platform
CME Group: Where Futures Are Made
CME Group (www.cmegroup.com) is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.