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Citi is a global banking and financial services company serving consumers, corporations, governments, and institutions. Its offerings span consumer banking, credit cards, wealth management, corporate banking, and investment banking, supported by operations in more than 100 countries. As a large international finance organization, Citi brings together teams working across banking, financial services, and fintech.
Senior Data Analyst, Credit and Counterparty Risk — Citi, Tampa
Analyze credit, liquidity, and trading data at Citi, a global bank. Deliver risk insights and data remediation with business and technology teams.
United States
Florida
New York$87,280 – $130,920 / year
HybridFull-timeMiddleSeniorEnglish RequiredData AnalystDescription
- Analyze credit risk, liquidity management, and related data from front-office trade capture and reference data systems.
- Collect operational data from teams across the business to assess past performance.
- Spot patterns and trends in data.
- Turn findings into insights for business planning, process improvement, and evaluating solutions.
- Partner with technology teams to design and deliver fixes for data issues.
- Explain data requirements and the effects of reported issues to data consumers using the DCRM tool.
- Update data concerns in the DCRM tool.
- Recommend actions that support future development and strategic opportunities.
- Propose operational policy improvements based on data findings.
- Carry out exploratory, confirmatory, and qualitative analyses.
- Translate data into customer behavior insights to inform targeting and segmentation.
- Present findings clearly to business partners and senior leaders.
- Improve processes and strategies by assessing new data sources, tools, and capabilities.
- Work with internal and external partners to develop, implement, track, and improve decision strategies.
- Consider risk to the firm, including reputational risk, in business decisions.
- Protect Citi, its clients, and its assets by supporting compliance with applicable laws, rules, and regulations.
- Follow Citi policy and apply sound ethical judgment in conduct and business practices.
- Escalate, manage, and report control issues transparently.
- Take on formal or informal leadership duties and coach junior colleagues.
Requirements
- Bring 4–5 years of data analytics experience with financial markets data and products.
- Have at least one year of experience scripting in SQL or Python.
- Have hands-on experience analyzing data with Excel, Tableau, SQL, and Python.
- Understand how firms manage credit and market risk for trading book activity.
- Know financial market structures and products, including OTC derivatives, securities financing transactions, exchange-traded derivatives, and cash trading.
- Work confidently with large datasets and demonstrate a strong grasp of logical data structures and analytical methods.
- Bring experience in data tracing, mining, visualization, analysis, pattern and trend identification, exploratory analysis, root cause analysis, machine learning, and predictive analytics.
- Have experience working across global teams and influencing stakeholders with varied backgrounds.
- Show urgency and manage competing priorities while delivering results efficiently.
- Have prior experience focused on analytics in financial services.
- Communicate effectively in writing and verbally.
- Present to business partners or leaders to secure approvals.
- Manage multiple projects at the same time.
- Work effectively both independently and as part of a team.
- Hold a bachelor's degree in computer science or have equivalent relevant experience.
- A master's degree is preferred.
Benefits
- Discretionary and formula-based incentive and retention awards.
- Medical, dental, and vision coverage.
- 401(k) plan.
- Life, accident, and disability insurance.
- Wellness programs.
- Paid time off, including planned vacation, sick leave, and paid holidays.
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