דרושים Contact Center Fraud Operations Analyst 3-7 ב-Us Bank ב-פולין

U.S. Bank National Association is seeking a highly skilled self-motivated individual contributor for the position of TPRM Data and Reporting Specialist to manage the design, development and execution of data integration, analysis and reporting across the TPRM program. This role plays a critical function in enabling real-time, data-informed decision-making by delivering insightful, accurate, and actionable dashboards and analytics to senior stakeholders globally. This is not just a reporting role- it is a strategic enabler responsible for transforming complex data sets into meaningful intelligence that drives the risk agenda forward.

Key responsibilities include developing and programming data aggregation methods, processes and systems to analyze complex datasets, delivering actionable insights and solutions to senior leadership and key stakeholders. This role also ensures the accuracy and integrity of critical data platforms, such as Tableau and PowerBI, by maintaining high standards of data quality and validation.

Essential Functions

• Own end-to-end development and maintenance of TPRM dashboards and reports across tools such as Tableau and PowerBI, ensuring delivery within defined SLAs and reporting cycles.
• Aggregate, cleanse, and validate data from multiple sources (e.g. Archer, ServiceNow, Agiloft) to create a centralized and trusted reporting environment.
• Identify, analyze, and interpret patterns in large, complex datasets to surface key insights and proactively highlight emerging trends and risks.
• Partner with cross-functional teams to design reporting that supports operational performance, regulatory compliance, executive decision-making, risk mitigation efforts and program governance.
• Service as the primary expert for data visualization platforms and analytics tools, providing ongoing administration, enhancement, and user support.
• Leverage tools such as SQL, SAS, and Alteryx to run advanced data queries, automate workflows, and apply statistical techniques to drive predictive or risk based analysis.
• Translate complex data into simple, compelling narratives and visualizations that resonate with executive audiences and enable rapid decision-making.
• Recommend and implement enhancements to reporting processes and infrastructure to improve data accuracy, integrity and scalability.

Basic Qualifications

• Bachelor's degree, or equivalent work experience in Data Analytics, Computer Science, Risk Management, Statistics or a related field.
• 6+ years of applicable experience in a data analytics or reporting role, ideally supporting risk, compliance, procurement, or financial services functions.

Preferred Skills/Experience

• Expert-level proficiency in data visualization tools (e.g. Tableau, PowerBI) and data transformation tools (e.g. Alteryx, SAS).
• Strong experience working with relational databases and querying languages such as SQL.
• Proven ability to work independently with minimal supervision and manage competing priorities in a fast-paced, high-change environment.
• Strong communication and presentation skills with the ability to distill complex data into executive level insights and actionable recommendations.
• Experience supporting audit, regulatory exams, or enterprise risk programs is highly preferred.
• Demonstrated ability to act as a thought leader, driving innovation in reporting strategy and data storytelling.
• Considerable knowledge of applicable laws, regulations, financial services, and regulatory trends that impact their assigned line of business.
• Considerable understanding of the business line’s operations, products/services, systems, and associated risks/controls.
• Effective presentation, interpersonal, written and verbal communication skills.
• Effective relationship building and negotiation skills.
• Proficient computer navigation skills using a variety of software packages, including Microsoft Office applications and word processing, spreadsheets, databases, and presentations.
• Applicable professional certifications.
• Demonstratable knowledge of third-party risk management and related frameworks.

Key Responsibilities

• Analyze and reconcile balance sheet accounts, ensuring compliance with company policies (high-volume account clearing and exception investigation)

• Prepare accurate and timely journal entries

• Manage the month-end closing process with a focus on accuracy, timeliness, and internal control compliance

• Develop and deliver reports for management

• Prepare and update procedures and manuals

• Lead the preparation and analysis of aging reports

• Participate in project-related calls

• Maintain internal controls and risk management practices in line with accounting policies

• Support internal and external audits

• Collaborate proactively with key stakeholders

• Identify and implement process optimization opportunities to enhance efficiency and effectiveness

Qualifications

• Minimum 3 years of experience in a similar accounting or finance role

• University degree preferably in Finance or Accounting

• Experience with reconciliation tools

• Advanced Microsoft Excel skills for data analysis and problem-solving

• Strong analytical mindset

• Excellent organizational and time management skills with high attention to detail

• Ability to manage multiple priorities and meet tight deadlines

• Strong interpersonal and communication skills

• Proactive, solution-oriented, and self-motivated

• Independent and adaptable in a fast-paced environment

• Advanced Proficiency in English is essential for everyday tasks ( level B2/C1)

Core responsibilities:

• Create and execute recurring risk reporting for management and other key stakeholders – to demonstrate effective independent monitoring and trending insight.
• Proactively identify emerging trends and partner with key stakeholders to identity root cause for leadership visibility.
• Lead analytical projects using advanced analytical/statistical techniques and partnering with key stakeholders around the organization. The analytical projects could span across different business lines across the enterprise and requires extensive data mining skills often from complex databases, working with different products, data sources, and data types (customer, application, transaction, clickstream, etc.)
• Proactively and strategically lead efforts to identify new risks to monitor, source data needed, and provide actionable recommendations based on reported results, benchmarks, and discovered patterns.
• Perform ad hoc analysis to understand effectiveness of current controls and recommend enhancements.
• Closely work and provide support to partners in areas including Issue Management, Policy Governance, Data Analytics etc.
• Collaborate with business lines – to strengthen risk management policies, procedures, and practices.

Qualifications

• 7 to 10 years of experience in applicable banking product and feature design or risk management activities
• Bachelor's degree, or equivalent work experience
• Applicable professional certifications

Preferred Skills/Experience

• Bachelor’s degree in Business, Finance, Computer Science, Business Analytics, Statistics or other quantitative field required
• Extensive data analytics experience preferably in the financial services industry.
• Considerable knowledge of applicable laws, regulations, financial services, and regulatory trends that impact their assigned line of business
• Excellent presentation, interpersonal, written, and verbal communication skills
• Exceptional problem solving, critical thinking, and troubleshooting skills
• Advanced knowledge in Microsoft Office applications, including PowerApps
• Ability to prioritize and manage multiple tasks, while establishing responsible deadlines
• Flexibility in day-to-day work and tolerance for ambiguity
• Positive ‘can-do’ attitude and a strong desire to continue to learn and ask questions
• The ability to work well in a team environment
• Excellent communication skills, both written and verbal
• Ability to build relationships cross-functionally with both co-located and remote colleagues
• Attention to detail in writing, planning, and communication
• The ability to work with minimal oversight
• Experience with SAS, SQL, R, Python, Azure, Synapse, or other similar applications
• Experience with dynamic reporting dashboards and data visualization tools (e.g. PowerBI, Tableau)
• Ability to work with and influence at all levels of the organization, including with senior leadership
• Knowledge of financial services products, systems, and data

:

U.S. Bank’s Credit Risk Administration (CRA) group is seeking

and xl quantitative analysts / data scientists

About the Role

In this role, you will develop, document, and execute processes to monitor the performance and stability of predictive models used in Credit Risk Management. You’ll also collaborate with model developers to support new model development initiatives.

Key Activities

• Develop and optimize code and processes for model performance monitoring and reporting.

• Analyze model metrics (e.g., accuracy, stability), identify issues, and recommend improvements.

• Conduct tests, interpret results, and present findings through reports and dashboards.

• Collaborate with development and implementation teams to align data and execution logic.

• Automate data capture, testing, documentation, and visualization workflows.

• Create documentation and playbooks to ensure process consistency and knowledge sharing.

• Support new model development projects in partnership with the model development team.

• Explore ML/AI techniques to enhance process efficiency.

Basic Qualifications

• 3 or more years of experience in a data analytics, software development, or related roles.

• Bachelor’s Degree or higher in a quantitative/technical field such as statistics, mathematics, computer science, data science, or engineering.

• Programming experience in Python (preferred) or similar statistical software (e.g. R, SAS)

• Proficiency in developing and optimizing SQL queries.

• Strong analytical, organizational, problem-solving, and project management skills.

• Effective interpersonal, verbal, and written communication skills.

Preferred Skills

• Experience in financial services, banking, and/or credit risk.

• Data visualization dashboard technologies such as Power BI.

• Experience with cloud-based tools and infrastructure (Azure or AWS).

• Familiarity with automation using scripting tools (e.g. Bash) and low-code platforms (Microsoft Power Automate / Power Apps).

• Experience with quantitative model development and/or validation.

• Exposure to machine learning concepts and their application in financial services.

• Understanding of version control systems like Git.

The role offers a hybrid / flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work remotely for the other days.