The Market Risk Data Lead Analyst is a seasoned professional role focusing on supporting CVA risk data used by risk management professionals charged with oversight of the firm's trading business. This role is globally focused and interfaces with both internal and external partners domestically and internationally. The Risk Reporting Officer will be part of the Risk Control & Data Analytics team supporting Credit Valuation Adjustment (CVA) is responsible for data production and data stewardship. This role will focus on data stewardship and be responsible for overseeing one or more of the following:
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Issue Identification, Escalation and Remediation Management
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Key Performance Indicators and Metrics Management
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Project & Initiatives Management
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Governance and Oversight Management
Responsibilities:
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Through the function managed, directly leads efforts to provide accurate, completeness, timely and reliable risk data to customers, partners, shareholders and regulators, grounded in developing and instituting the most efficient processes and critical deliverables.
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Leads in defining and establishing appropriate CVA data metrics and KPIs, understanding the data needs of regulatory and internal reporting, the acquisition of that data, the financial reconciliation and Data Quality measurement of that data and remediation of issues at source.
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Prepare and conduct presentations directed to upper management regarding various statistics, updates on data quality issues, and points for escalation
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Deliver regular and time-sensitive ad-hoc deliverables as part of the requirements needed by regulators, compliance, and senior management
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Leverage and maintain relationships across varying functions and levels of management to ensure strong partnership with data officers, data consumers and technology owners
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Works with technology to ensure system enhancements are aligned with the needs of management reporting.
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Supports management with preparation of materials tracking automation progress.
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Has the ability to operate with a limited level of direct supervision.
Qualifications:
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6+ years of experience in Data Quality analysis (experience in Risk and/or Finance is a plus)
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Strong data analytics, critical thinking, and problem-solving skills to manage end-to-end cycle of data quality issues while navigating through various systems
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Proven ability to be attentive to details and provide in-depth analysis to clearly define and interpret data quality issues
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Excellent verbal and written communication skills while working with counterparts in different areas and maintaining strong collaboration to build partnerships
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Effective time management skills to anticipate and balance the team's deliverables with the needs of multiple stakeholders
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Highly experienced with Excel, VBA, SQL/programming
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Experience in Tableau is a plus, but not required
Education:
Job Family Group:
Risk Management
Job Family:
Risk Reporting
Time Type:
Full time
Primary Location:
Getzville New York United States
Primary Location Full Time Salary Range:
$100,800.00 - $151,200.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Anticipated Posting Close Date:
Sep 17, 2024
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 is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
