The Balance Sheet Mgmt Sr Ld Anlst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically a small number of people within the business that provide the same level of expertise. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy. Primarily affects a sub-function. Responsible for handling staff management issues, including resource management and allocation of work within the team/project.
Job Title: Senior Vice President, Balance Sheet Analytics & AI Product Management
Responsibilities:
- Own and direct the product strategy, vision, and roadmap for balance sheet management solutions, with a strong emphasis on applied AI and machine learning.
- Articulate the product strategy and roadmap to stakeholders at all levels, from executive leadership to engineering teams, ensuring alignment with business objectives.
- Lead the end-to-end product lifecycle, including the design, prototyping, and deployment of data-driven tools and models. This is a hands-on role requiring the ability to rapidly develop advanced analytics solutions and dashboards using Python and Tableau.
- Partner with senior leaders in Finance, Treasury, and Technology to identify business opportunities and translate them into technical requirements and product features.
- Act as the primary liaison between business stakeholders and technical teams, ensuring business needs are accurately translated into actionable development work while providing technical guidance.
- Mentor product and technical teams, establishing best practices for product management and data science within the group.
- Uphold stringent risk and control standards, demonstrating sound judgment regarding the firm's reputation and assets, particularly concerning data and model governance in the context of AI solution deployment.
Qualifications:
- 8+ years of experience in technical product management, quantitative analysis, or data science within the financial services industry. A Master's degree or PhD is highly preferred.
- A strong portfolio of successfully launched data-intensive products or analytical solutions, demonstrating deep expertise in applied AI/ML.
- Expert-level proficiency in Python for data analysis, modeling, and automation, as well as advanced skills in Tableau for data visualization and dashboard creation.
- A strong technical foundation with demonstrated experience in rapid prototyping and taking complex analytical products from concept to full deployment.
- Excellent communication skills, with the ability to distill complex technical and financial topics for senior management and guide technical discussions with engineering and data science teams.
- Proven ability to lead and influence cross-functional teams in a complex, agile environment.
- Substantial experience in product ownership at a senior level, with a track record of leading the development of significant data or technology infrastructure from a business perspective.
- Ability to work independently, manage multiple senior stakeholders, and navigate a fast-paced environment.
Education:
- Bachelor's degree in a quantitative field such as Computer Science, Data Science, Finance, Economics, or Statistics is required.
- A Master's degree in a related technical or quantitative field is preferred.
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Job Family Group:
Finance------------------------------------------------------
Job Family:
Balance Sheet Management------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Business Acumen, Data Analysis, Internal Controls, Management Reporting, Problem Solving, Process Execution, Risk Identification and Assessment, Transfer Pricing.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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Skills Required
- 8+ years of experience in technical product management, quantitative analysis, or data science
- Expert-level proficiency in Python for data analysis and automation
- Advanced skills in Tableau for data visualization
- Master's degree or PhD in a quantitative field preferred
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
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