Data Analyst/Technical Product Manager (AVP) - Hybrid

Role Overview:

Join a creative, inclusive, and data-focused team looking to transform how Citi manages Corporate Loans data and operational processes and enhance how regulatory reports are produced – two major initiatives for the bank. The Readiness Metrics and Data (RMD) team within ISG Loans Technology at Citigroup is searching for a Technical Data Analyst/Product Manager skilled in data analytics to aid in creating strategic automation solutions and process reengineering for Loans Products and for Credit Risk Monitoring.

The role involves partnering with several key internal stakeholders (Operations, Technology, Banking, Markets, Commercial Bank, TTS, Compliance and Risk) in order to create holistic and strategic solutions that fully support, satisfy, and anticipate the operational, credit monitoring, and reporting needs of the business and our regulators.

The Readiness Metrics and Data (RMD) team can be described as a consultancy-style team of Data Analyst, Business Analysts and Technical Product Managers that are deployed to varying projects across the Loans Reengineering Initiative as a lot of these projects include solutioning and defining requirements across multiple internal systems.

Job Functions:

The team is looking for a growth-oriented and curious Data Analyst/Technical Product Manager (IT Project Senior Analyst - C12) who will:

• Drive solutions with evidence – perform data analysis activities utilizing Excel, SQL and/or Python,

• Own the resolution of issues – manage multiple program sub-streams and aid in developing technology solutions based off analysis,

• Be organized and timely – have a strong appreciation for regulatory deadlines and be organized enough to manage multiple responsibilities at once,

• Be a change agent – review existing processes critically in order to identify inefficiencies and automation solutions,

• Communicate effectively – author formal artifacts such as Business Requirement Documents, Internal Audit documents, and communication materials for senior management and key business partners in the form of PowerPoint presentations and Excel spreadsheets,

• Hunt for the right solutions – collaborate with team members, technology partners, and business partners to identify efficient and strategic solutions.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
   

Personal Development:

In the role, the Data Analyst/Technical Product Manager will have opportunities for senior management exposure, to make highly impactful process improvements, and to grow their leadership skills.

• Gain structured analytical skills with a focus on presentation and design – create analysis that tells a story and efficiently answers prompted questions,

• Build presentation skills that cater to the audience using multiple mediums (verbal, PowerPoint, Excel, etc.),

• Receive mentorship from the analyst’s reporting line as well as through formal development and leadership programs within ISG,

• Grow subject matter expertise in global loan products across Citigroup, risk management concepts, Citi systems and data architecture, and regulatory reporting, and

• Be part of a collaborative, diverse, and results-driven team that supports one another on a daily basis.

Qualifications:

• 5+ years of relevant work experience

• A bachelor’s degree in Business, Finance, Data Science or Analytics, Statistics, Engineering, or other similar degrees,

• Knowledge of financial instruments used by institutions is required.

• Knowledge of loans products is a plus

• Advanced expertise in Microsoft Excel and working knowledge of Word and PowerPoint

• Experience with data analysis tools (SQL, Python, Tableau, etc.)

Education:

• Bachelor's/University degree or equivalent experience

• A degree in Business, Finance, Data Science, Analytics, Statistics, Engineering or similar is preferred

US Work Sponsorship not available at this time.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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