Sr Supervisor Compliance Investigations jobs at Paypal in Ireland, Dublin

Essential Responsibilities:

• Complete level two quality reviews, efficiently and accurately identifying opportunities within the cases that you review, completing your reviews in a timely manner.
• Apply analytic techniques to complex information sets in order to make logical and supported recommendations to leadership and to your direct reports on cases for reporting to regional regulatory authorities.
• Direct and coach your team to ensure they are successful in the following daily efforts:
• Conducting reviews of potential illegal activity or activity in violation of the regulations or PayPal policies
• Completing a time-sensitive and meticulous analysis of each instance of potential Anti-Money Laundering activity and/or suspicious financial activity across multiple jurisdictions and countries.
• Assessing customer profiles and large amounts of data to ensure normal and expected activity, including Acceptable Use Policy adherence and Know Your Customer efforts.
• Documenting findings in narrative style format, in the manual and automated process case management system and prepare reports to management as required.
• Conduct quality reviews through our Investigative Excellence program to ensure the casework of L1 investigators meets our internal quality assurance requirements and regulatory expectations
• Regularly exercise good judgement in making decisions or recommendations in relation to case investigations and employee escalations from within your team.
• Work closely with senior leaders and PayPal’s People Team to utilize proper corrective action procedures as required.
• Work closely with senior leaders on projects and tasks as the business requires
• Maintain and grow subject matter expertise in PayPal’s investigations and processes
• Schedule, prepare, and lead 1:1 coaching, scheduled team learning sessions and leverage other best practices to ensure that you are driving interactive, engaging, and analyst-driven discussions based upon developmental needs of the team.
• Assessing team performance and providing feedback, development opportunities and oversight of action plans aimed at improving performance as needed

Expected Qualifications:

• 5 years of relevant work experience

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop staffing models, create schedules, and monitor performance metrics.
• Identify trends, issues, and opportunities through key metrics analysis and develop improvement recommendations.
• Ensure high-quality baseline demand forecasts are developed and maintained for Operations.
• Serve as a subject-matter expert on workforce optimization issues and tools.
• Collaborate closely with leaders and other support functions to provide strategic insights to maximize utilization of staff.
• Make judgment calls based on data and sometimes incomplete data, displaying a heightened level of accountability, demonstrating a sense of responsibility, confidentiality and professionalism.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

• 5+ years of experience in data science or machine learning, with at least 2 years applying AI/ML to operations, risk, or fraud domains.
• Strong proficiency in Python , SQL , and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
• Experience with LLMs , prompt engineering , RAG pipelines , or AI agents is a strong plus.
• Deep understanding of root cause analysis , anomaly detection, or incident forensics.
• Proven ability to translate business problems into data science solutions.
• Familiarity with MLOps tools and concepts (e.g., model serving, observability, retraining).
• Excellent communication skills and a collaborative mindset.
• Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field. PhD a plus.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Analyze sales data to recommend process improvements.
• Collaborate with internal teams to enhance operational efficiency.
• Prepare detailed reports for management review.
• Handle complex customer inquiries and provide solutions.
• Mentor junior analysts and guide their professional growth.

Expected Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Responsibilities

• Performance Analysis:
  • Extract and analyze sales and customer data to uncover performance insights, growth opportunities, and operational bottlenecks.
  • Define and monitor critical metrics—including pipeline velocity, win/loss rates, and quota attainment—and collaborate with sales leadership to establish benchmarks.
  • Build dashboards and reporting systems that provide revenue teams with actionable insights and real-time progress tracking.
  • Ensure sales pipeline health by monitoring progress, managing data accuracy, and identifying blockers.
  • Conduct forecast and pipeline meetings with sales leaders, driving discussions around opportunities, trends, and deviations from the plan.

• Annual Planning:
  • Build data-driven market segmentation strategies to identify key customer groups and prioritize business opportunities.
  • Optimize territory assignments based on geographic regions, industries, and account types to ensure efficient market coverage.
  • Develop equitable sales quotas informed by historical performance, market potential, and strategic business objectives.

• Sales Process Optimization:
  • Evaluate and refine existing sales workflows and processes to promote efficiency and effectiveness.
  • Act as the champion for Salesforce CRM adoption and other operational tools, ensuring alignment, training, and sustainable usage.
  • Maintain and improve CRM data quality, ensuring it serves as a trustworthy source of truth for strategic decisions.
  • Provide ongoing training, support, and guidance to sales teams for tools adoption and feature enhancements.

• Cross-Functional Collaboration:
  • Partner with cross-departmental teams (Product, Marketing, Finance and Compensation) to integrate insights within broader organizational priorities.
  • Act as the liaison between sales teams and other departments, fostering alignment and seamless communication.
  • Assist in quote generation and contract management to support the sales team's operational needs.

Requirements

• Education : Bachelor’s degree (or equivalent) in Business Administration, Finance, Economics, Data Analytics, or a related field.
• Technical Proficiency : Skilled in Excel, SQL, and business intelligence tools (e.g., Looker, Tableau, or Power BI). Familiarity with Salesforce is highly advantageous.
• Experience : Proven exposure to or experience working within commercial teams, such as sales or account management; background in revenue operations, sales operations, or analytics preferred.
• Analytical Skills : Strong data analysis and problem-solving abilities—you thrive on finding clarity amidst complexity.
• Storytelling : Adept at turning complex data into clear, actionable narratives. Exceptional communication skills, with the ability to present ideas succinctly and effectively.
• Self-Starter : Proactive mindset with a "see it, solve it" approach to challenges.
• Collaboration : Strong team player with an ability to work seamlessly across departments and in a fast-paced, evolving environment.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Define and drive the strategic vision for machine learning initiatives within the team.
• Lead the development and optimization of machine learning models.
• Oversee the preprocessing and analysis of large datasets.
• Deploy and maintain ML solutions in production environments.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models, making necessary adjustments.
• Mentor and guide junior engineers and data scientists.
• Ensure adherence to best practices and industry standards in ML development.

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience leading others

Our Benefits:

Any general requests for consideration of your skills, please