Job Description
The Balance Sheet Mgmt Sr Ld Analyst position in our Balance Sheet Integrated Solution group focuses on solving complex Treasury challenges using traditional methods and advanced techniques (including AI/ML). You will partner with cross-functional teams (Capital, IRRBB, FTP, Non-Market Risk, Methodology) to deliver strategic outcomes, leveraging a strong background in mathematics, quantitative finance, programming, and data science. Excellent communication, leadership, and collaboration skills are essential for influencing diverse stakeholders and mentoring junior team members.
Responsibilities
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Identify, design, and implement solutions—from traditional analytical approaches to AI/ML—to tackle Treasury’s most pressing challenges.
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Build, maintain, and version Python libraries; follow SDLC best practices and publish code on GitHub with robust documentation.
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Manage the model pipeline and associated governance prescribed by Model Risk Management.
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Extract, cleanse, and prepare large datasets, leveraging SQL and other data manipulation techniques for advanced analytics pipelines.
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Develop high-impact Tableau dashboards that translate complex data insights into actionable recommendations.
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Drive platform and model strategy, project prioritization, and forward-looking analytics in alignment with firmwide objectives.
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Collaborate across Capital, IRRBB, FTP, Non-Market Risk, and Methodology teams to ensure timely, data-driven solutions that enhance business decision-making.
Qualifications
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10+ years of relevant finance/banking experience, with proven expertise in Balance Sheet Management, Capital, IRRBB, Transfer Pricing, or similar.
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Strong foundation in mathematics, quantitative finance, programming, and data science, with experience building and deploying advanced AI/ML solutions.
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Proficiency in Python, SQL, and data engineering practices; familiarity with analysis tools (Tableau, Excel) and version control (GitHub).
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Demonstrated ability to architect, maintain, and scale analytics pipelines—from data ingestion to model deployment—within SDLC frameworks.
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Adept at capital markets activities, liquidity planning, and balance sheet analytics.
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Exceptional communication, leadership, and collaboration skills can influence technical and non-technical stakeholders.
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Bachelor’s degree (Master’s preferred) in a relevant field (Finance, Computer Science, Data Science, Mathematics, or similar).
Additional Job Description
Coding, Python, Tableau, understanding and able to design Quantitative Method., Data Science
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Job Family Group:
Finance
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Job Family:
Non-Trading Market Risk Management
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Time Type:
Full time
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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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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