Finance & Risk Data Operations – Analyst 
  • Support the daily and monthly regulatory reporting activities for daily and monthly Liquidity, Credit, and Financial Risk reporting.
  • Analyze and Investigate daily/monthly data quality issues that may impact Liquidity Risk, Credit Risk, and Finance Risk process.
  • Ensure all operational controls are being performed per the operating model, and all activities are in line with the firms governance / internal control policies.
  • Partner with the firm’s Program & Technology office to support all infrastructure development and testing as required.
  • Partner with the lines of business to understand key business drivers, infrastructure, and products, to help identify potential business risks and assist with the creation of process efficiencies. 
  • Partner with existing reporting teams to document the current process (system architecture, data flow, reconciliations, controls, etc.).
  • Represent operations at meetings with technology and projects/LOB teams.
  • Provide project management support on projects for processes related to data management and financial reporting
  • Regularly present metrics and KPIs to senior leadership team to share production updates.
  • Create process documents, analyze data profiling trends, and perform data mining tasks to pinpoint anomalies/gaps in the Loans/Deposits data models.
  • Own and review data quality exceptions for regulatory reporting requirements. Work with lines of business and stakeholders to resolve assigned data quality exceptions.
  • Collaborate with other team members and peers to drive resolution of data quality and systemic issues across all risk management.
  • Partner with regional leadership team to identify and solve resource gaps, highlight and resolve barriers.
Role Specific Tasks: 
  • Reconcile month end data from upstream risk management systems to the bank’s general ledger.
  • Develop, Test, and Monitor Data Validations rules designed to detect gap gaps against the firm’s reference data.
  • Act as a point of contact for LOBs and data consumers to provide explanations on reconciliation breaks, data validation failure,  commentaries, and sign offs.
  • Analyze and review data leveraging Microsoft Office products such as Excel, PPT, and Word.
  • Develop scorecards to provide transparency into reconciliation breaks and data quality issues linking them to top side adjustments, and tracking their progress for remediation.
  • Analyze issues impacting reporting timelines/variances for multiple LOBs and provide updates to senior management on root causes and paths to remediation.
  • Bachelor’s Degree Required (Computer Science, Engineering, Finance, Information Systems, or Business Administration degree preferred).
  • Master’s Degree preferred but not required
  • 3+ years of experience in financial services operations capacity
  • Sound knowledge of financial products suites.
  • Excellent written and verbal communications; clearly communicate complex topics at all organizational levels.
  • Problem solving and decision-making skills.
  • Demonstrated proficiency in MS Office products (Advanced Excel, Word, PowerPoint), Access, SQL.
  • 3+ years of experience using MS Excel. Proficiency with semi-complex formulas, and macro creation.
  • Ability to multi-task, work well under pressure and commitment to deliver under tight deadlines.
  • Strong leadership and time management skills.
  • Candidate must display an ability to be organized, thorough, and “Can-do” attitude.
  • Candidate should be a good listener, as well think outside box when presented to complex problems.
  • Candidate should be able to take step back, breakdown complex business problems into smaller components; and devise solutions.
  • Strong team player able to work with all levels of employees.
  • Self – motivated and able to work independently with minimal supervision.
  • Collaborative working style.
  • Experience in Financial Operations and/or Middle Office and knowledge of the Credit, Liquidity, Finance and/or Regulatory Reporting.
  • Financial modeling experience is desired but not required for this role.

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