דרושים Sr Analyst Credit Underwriting - Front Book ב-Paypal ב-Ireland, Dublin

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

Your Day to Day

• Responsible for working and responding professionally to customer inquiries via multiple communication channelsprimarily inbound telephone calls with some messaging included.
• Making outbound calls to customers to help resolve issues in the most efficient and customer-friendly manner
• Effectively identify problems and issues by performing relevant research using the appropriate tools
• Effectively work and respond to processes within the regulated requirements and timelines, keeping in mind the financial and reputational risks
• Providing feedback to management regarding necessary changes and updates; including policies, upgrades, and customer care issues
• Deciding on the outcome of complex issues keeping in mind that decisions may impact customer retention, PayPal loss or savings, as well as result in legal action or reputational damage

What you need to bring

• Experience in one or more of the following areas: Customer Service, Call Centre, Credit Services, Lending, Transaction Processing, Account Processing or Debit Services
• Experience in a financially regulated environment is desirable
• Ability to communicate effectively via telephone by utilising soft skills, active listening and speaking to customers
• Ability to communicate effectively via messaging by utilising proper grammar and punctuation skills
• Ability to handle multiple complex and high-priority tasks simultaneously
• Ability to make discretionary decisions based on research and within the regulations
• Well-developed sense of urgency and follow-through
• Proficiency in the use of computer systems with the ability to learn and adapt to new software technologies

Competencies

• Strong customer focus, putting the customer at the heart of what we do
• Ability to manage your time effectively
• Experience working with targets with a strong drive for results
• Excellent listening skills
• Composure
• Problem-solving skills
• Integrity and trust
• Ability to demonstrate ethics and values
• Action-oriented

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Handle inbound calls to and from customers regarding their outstanding balances.
• Utilize multiple communication channels, including phone, email, and chat, to contact customers, provide support and respond to customer inquiries efficiently.
• Listen to customers' concerns and understand their financial situations to offer appropriate payment solutions.
• Negotiate payment plans and arrangements that align with company policies, regulatory requirements, and customers' abilities to pay.
• Maintain accurate and detailed records of customer interactions and payment agreements in the system
• Provide exceptional customer service by demonstrating empathy, patience, and professionalism in all interactions, while meeting production and quality goals.
• Stay informed about company policies, procedures, and industry regulations related to collections.
• Proactively engage in self-development activities, that support your professional growth. including attending training sessions and workshops to enhance your skills and knowledge in collections and customer service

Expected Qualifications:

• 1 year of relevant experience

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