דרושים Sr Business Development Rep ב-Paypal ב-צרפת

Essential Responsibilities:

• Lead complex projects that address regulatory challenges and improve compliance processes.
• Collaborate with internal teams to resolve regulatory issues and implement best practices.
• Analyze current business trends to inform regulatory strategies and initiatives.
• Develop and implement processes that enhance the organizations regulatory compliance efforts.
• Mentor and guide junior team members in regulatory relations best practices.

Expected Qualifications:

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.

Non-Financial Data Management & Validation

• Verify ESG data collection and validation processes, and oversee assurance of ESG metrics, ensuring accuracy, completeness, and auditability.
• Administer ESG information platforms and data sources, ensuring strong governance.
• Drive alignment of ESG disclosures with the financial reporting cycle.

Controls, Risk, and Assurance

• Lead risk assessments and design robust internal controls for ESG reporting.
• Partner with Internal Audit (SOX) and external auditors to manage assurance processes over ESG data.
• Own and implement the ESG Metrics Policy and procedures, ensuring global and consistent application. Contribute to maintenance and enhancement of the body of ESG-related policies, procedures, guidelines, and other process documentation.
• Oversee change management related to ESG reporting and data processes, ensuring that reporting impact as result of new regulatory requirements, new products, new licenses, system enhancements, and internal process updates are effectively implemented, communicated, and adopted across the organization

Regulatory Reporting & Compliance

• Monitor regulatory developments, perform impact assessments, and update internal policies accordingly.
• Serve as subject matter expert on ESG disclosure frameworks and regulatory requirements partnering with entity legal and risk teams.
• Drive process improvements to strengthen efficiency, accuracy, and scalability of ESG reporting.

Stakeholder Engagement & Collaboration

• Partner with the Corporate Affairs Team to evaluate and enhance ESG data management processes and controls, as well as align disclosures with corporate sustainability goals, impact reporting, ESG and Corporate Sustainability regulations, and external communications.
• Collaborate across Finance, Legal, Operations, and Technology to embed ESG reporting in enterprise processes.
• Leading ESG Processes and Controls Working Groups
• Provide training and guidance to business partners on ESG reporting, controls, and compliance expectations.
• Represent the company in external ESG forums, working groups, and industry associations to stay informed of regulatory developments, ESG best practices, and market trends, and to bring insights back into the company’s reporting and strategy.

Qualifications

• Bachelor’s degree in Finance, Business, Sustainability, or related field; advanced degree preferred.
• 12+ years of experience in financial reporting, ESG reporting, or regulatory compliance, with at least 4–5 years in a leadership role.
• Knowledge of ESG frameworks and regulatory requirements (CSRD, ISSB, GHG Protocol, TCFD).
• Proven track record in designing internal controls and leading audit and assurance processes, preferably in financial reporting.
• Proficiency with ESG reporting platforms and tools (Workiva, Enablon, Watershed, or similar).
• Excellent analytical, organizational, and project management skills.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $123,500 to $212,850

Our Benefits:

Any general requests for consideration of your skills, please

This job focuses on leveraging data to derive insights that align with the product’s shared vision and customer needs. It involves gathering customer experience insights to inform product requirements and analyzing research, market data, and usability studies for data-driven decision-making. Responsibilities include monitoring product profitability and budget, leading sprint planning, daily standups, and retrospectives to ensure effective execution, and collaborating with content developers, data scientists, product designers, and user experience researchers to uncover new opportunities. This job is an individual contributor.

Essential Responsibilities:

• Uses data to build insights on product requirements consistent with the shared vision for the product.
• Gathers insights from the customer experience and customer needs to input to product requirements
• Analyzes research, market analysis and usability studies, research and market analysis to support data-driven decision making
• Monitors product profitability measures, including budget.
• Lead sprint planning, daily standups and retrospectives to drive execution. Interfaces with product leadership as needed.
• Partners with content developers, data scientists, product designers and user experience researchers to identify new opportunities.

Expected Qualifications:

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

Preferred Qualification:

Our Benefits:

Any general requests for consideration of your skills, please

• Strong proficiency in Python for data analysis, machine learning, and automation.
• Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures).
• Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions.
• Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
• Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows.
• Ability to work cross-functionally with engineering, product, compliance, and operations teams.

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.

Minimum Qualifications:

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

This job oversees and coordinates related projects to ensure they benefit one another and meet business goals.

Essential Responsibilities:

• Scope: The project & program responsibilities are focused on internal information system-specific project tasks or non-technical project completion using an internal customer perspective, both typically from initiation through delivery.
• Organize daily activities based on organizational goals.
• Develop and implement new programs that support objectives.
• Monitor projects and oversee project managers.
• Evaluate program strengths and weaknesses.
• Develop program budgets and plans.
• Meet with stakeholders to discuss program status and goals.
• Improve strategies with the marketing team.

Expected Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

In your day-to-day role you will be responsible for:

Define launch strategy for new product capabilities including geographic scope and rollouts, detailed timing, ramp and analytics plan.

Proactively manage across stakeholder groups to establish interdependencies, identify risks and resource constraints, and eliminate significant roadblocks in a timely fashion.

Ensure measurable KPIs are developed for the program, and that they align to the overall KPIs for the product.

Design and manage pilots and beta testing.

Work with product and engineering leaders to define program OKRs and have consistent way to manage and report.

Ensure regular, active communication with adjacent programs and external stakeholders, including international regions.

Identify program impediments and addresses including proper escalation to individuals/groups as needed.

Lead effective program governance and stakeholder management, ensuring adequate understanding of timelines, resource needs, risks, contentions, and dependencies.

Assess the current methodology, identify/rationalize gaps vs. best practices, and continuously improve the process to support our aggressive deployment schedule.

What do you need to bring:

Professional experience requirements:

• Overall 12 years of experience and 5+ years into program management.
• Relevant experience organizing multiple teams delivering on software/product development initiatives required. Agile lifecycle management experience preferred.
• Successful track record of managing complex development programs to deliver technical solutions and achieve business results, positively impacting the customer experience.
• Proven ability to develop effective, matrixed, cross-organization relationships, collaborating and communicating across business and technology stakeholders and multiple geographies
• Strong technical acumen and strong voice of the customer across the program delivery lifecycle.
• Good knowledge of project management process, project management software tools, templates and management techniques
• Experience with different software development methodologies including the agile development methodology such as Scrum
• Success in developing program/project level artifacts to support a major software implementation program with concurrent releases

Key competency requirements:

• An inherent bias to action
• Proven leadership skills; self-motivated and a self-starter with a “Can do” attitude
• Team player, energetic personality, quality minded, focused, committed and able to work independently in a fast-paced, changing environment
• High degree of professional confidence and credibility with effective presence, strong written and verbal communication skills, able to communicate technical concepts and plans at all levels
• Sharp business judgment, detail oriented yet able to always see the "big picture"
• Strong partnering and influencing skills in all mediums and throughout all levels of the organization including senior leaders
• Strong problem-solving skills, able to prioritize among many conflicting needs, advocate a course of action, and pursue it consistently
• Ability to adapt, be flexible and responsive to dynamic situations

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

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.

Minimum Qualifications:

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

Preferred Qualification:

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

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.

Minimum Qualifications:

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

Preferred Qualification:

Responsibilities:

• Write clean, high-performance, high-quality, maintainable code
• Discovering, analyzing, structuring and mining data
• Be a key engineer contributing to the design, development of the new ML and Gen AI based solutions, improving and maintaining the same.
• Work with data scientists and backend engineers to implement scalable AI and ML solutions to solve complex problems.
• Maintain and enhance the existing architectural documentations and create the new one as needed
• Highly effective at working in cross-functional groups and getting results in matrix organizations
• Highly analytical, innovative, and able to think strategically and to develop comprehensive detailed specifications
Qualifications and skills:

• B.S./B.E/B.Tech in computer sciences with 5+ years of experience or equivalent
• Experience in building production grade Gen AI applications including Prompt Engineering and RAG fine-tuning techniques and usage of Agentic frameworks like Langraph, Langchain, CrewAI etc.
• Experience in Fine Tuning LLMs is a plus
• Experience with cloud technologies (GCP/AWS/Azure.) is recommended.
• Experience on building shallow learning and deep learning applications, using TensorFlow, PyTorch, H2O, SciKit-Learn, Keras, Spark MLlib, XGBoost, LightGBM etc.
• ML Design pattern, algorithm and the data structure skills
• Worked in development environments following agile principles and methodology
• Experience in working with GPU, profiling/low-level optimizations, Cuda/CuDNN is a plus
• Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes) is a plus
• Experience with Big Data Platform and data processing frameworks (Hadoop, Hive, Map Reduce, Spark, etc.) and professional skill in writing optimal production grade SQL queries is a plus
• Experience on data mining, feature engineering, and distributed data programming
• Excellent communication skill to global business and technical partners
• Highly motivated, goal driven, can-do attitude
• Innovative, entrepreneurial, team player, ability to multi-task
• Flexible in learning new tools and technologies and quickly on boarding solutions using solutions using them.

Our Benefits:

Any general requests for consideration of your skills, please

The ESS provides outbound/proactive and inbound/reactive support, maintenance and consultation, providing assigned merchants with effective issue resolution within established SLAs, supporting merchant servicing actions and ensuring operational excellence to maximize merchant health.The individual acts as the first point of contact for all servicing requests and advocates for their assigned portfolio of accounts.

Essential Responsibilities:

• Develops strategic engagement plans that anticipate client needs and enhance satisfaction. Facilitates workshops or training sessions to deepen client relationships.
• Creates and implements communication strategies that promote clarity and engagement. Provides coaching to peers on effective communication techniques.
• Acts as a subject matter expert, guiding clients on advanced product applications and troubleshooting complex issues. Shares knowledge with team members.
• Acts as a subject matter expert, guiding clients on advanced product applications and troubleshooting complex issues. Shares knowledge with team members.
• Leads discussions on market trends that impact client strategies, offering proactive advice to help clients adapt to changes.
• Designs and implements comprehensive solutions that address complex client challenges, ensuring alignment with overall account strategies.
• Oversees resolution processes for high-impact client issues, ensuring thorough communication and follow-up with stakeholders.
• Develops systems to track and analyze client interactions, identifying patterns that inform proactive service interventions.
• Builds strong relationships with key clients, ensuring their voices are represented in organizational decisions and strategy.
• Analyzes feedback trends to identify areas for improvement and collaborates with cross-functional teams to implement changes based on merchant insights, enhancing overall service delivery.
• Proactively seeks and proposes tailored growth opportunities based on merchant needs and business goals, using data and insights to support recommendations.
• Develops and executes initiatives aimed at increasing merchant satisfaction, such as loyalty programs or customized service offerings, measuring their effectiveness through metrics.

Expected Qualifications:

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

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $94,000 to $156,200

Our Benefits:

Any general requests for consideration of your skills, please