Applied AI/ML - Vice President
About The Position
The Global Technology Client 360 Technology Organization is seeking an integral leader to define and execute the strategic vision. Client 360 is a global team within Corporate and Investment Banking, responsible for building a 360 view of client data platform to unlock the business opportunity from data insights. This is a greenfield initiative to change the way we do business using Data Science, including Artificial Intelligence and Machine Learning (AI/ML) and Agentic AI. As the Vice President in the C360 Data Science Center of Excellence, you will play a pivotal role in defining and communicating our strategic direction. You will be responsible for steering the Modeling and Analytical initiatives and advancing the Data Science agenda. You will collaborate with partners across C360 towers, Risk, Finance, Technology, Chief Data & Analytics Office (CDAO), and the broader Data Science community within the firm. This position demands deep data science experience, strong analytical skills and exceptional cross team collaboration abilities.
Requirements
- Expertise in a broad array of AI techniques (e.g., ML, NLP, semantic searching, LLMs and RAG) and big data
- Strong quantitative skills: Advanced Graduate Degree (Master’s or PhD) in a Quantitative Field: Mathematics, Statistics, Quantitative Finance, or related field.
- Excellent communication (verbal and written) skills, with the ability to prepare and present executive level presentations.
- Ability to view problems through a “big picture” lens, take concepts from ideation to execution and provide strategic guidance and oversight to a quantitative team.
- Strong programming skills (e.g., Python, Pyspark) and advanced Excel and Microsoft Office skills are required.
- Strong culture carrier and inclusive leader who leads by example. Inquisitive nature, ability to ask the right questions and escalate issues.
- Organized, proactive, self-starter with high attention to detail, able to work in a fast-paced, results-driven environment with a proven track record of strong multi-tasking abilities in executing against deliverables and meeting deadlines under pressure.
- Experience building and managing global analytical teams
Nice To Haves
- Familiarity with economics, financial products and financial forecasting concepts is a plus.
Responsibilities
- Lead the design, development and execution of various Data Science and related modeling and analytical efforts within the C360 organization, working closely with key partners across Risk, Finance, Technology, Chief Data & Analytics Office (CDAO) and the firm’s broader Data Science community.
- Play a leadership role in setting strategic vision and furthering the Data Science agenda, including leveraging AI/ML to create value within an organizational context.
- Lead communications and meetings across diverse functions, locations and businesses to facilitate discussions, drive priorities and consensus amongst stakeholders and senior management.
- Develop executive-level presentations and explain key analytical elements in a manner that is appropriately tailored to a diverse target audience.
- Stay abreast of current trends in economics, financial markets and analytical innovations, and anticipate implications for modeling and financial forecasting.
Benefits
- We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
- Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
- We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
Ph.D. or professional degree
