Risk Analyst

Top 3 Skills:

• Develop data-driven decision strategies (not only pulling the data)
• Drive End-to-End processes (project management)
• High proficiency in fundamental technical skills

• Decision scientists are highly motivated team players with self-learning ability who specialize in creating, driving and executing initiatives to mitigate fraud patterns while improving the customer's experience for the client 's hundreds of millions of customers.
• The day to day job involves identifying fraud patterns based on analysis of huge data sets, creating mitigations to prevent fraud on client 's customers and adapting advanced proprietary fraud prevention mechanisms to enable client 's growth.
• The decision scientists work with a wide verity of partners in the company such as product experts, developers, data scientists and engineers to bring their analytical insights to life.
• The ideal candidates are problem solvers, equipped with strong analytical skills suited to approach varied challenges in complex big data environments.
• Decision scientists will be required to drive solutions from start to finish, have a strong sense of accountability coupled with passion for a great customer experience.

• Develop data-driven decision strategies to support the business' global financial goals, monitor their impact and adjust it according to the dynamic world we operate in.
• Work with client 's detailed business data to optimize performance and minimize financial loss across multiple products, global regions and financial systems.

• Plan and execute long-term projects from start to finish.
• Drive partners from across the company to help in executing process.
• Think and execute product requests to help Risk achieve their goals of reducing fraud losses and improving customers' experience.

• Guide the development of customer-facing products to enhance the client experience around the world.
• Work to improve user experience in client 's products while maintaining high Risk decision accuracy.
• Act as Risk's point of contact for products launches, represent Risk's point of view and make sure client products are launched with Risk capabilities that meets our high standards.

• Works independently and proficiently. Accountable for own results. Reviews are mainly for consultation and sharing ideas.
• Works on multiple assignments simultaneously and in all areas of a standard project in the area of responsibility.
• Focuses primarily on how to achieve overall analytic objectives of a project with speed and quality.
• Suggests ideas for operational plans and objectives.
• Clear subject matter expert within group / geography.
• Mentors junior data scientists.
• Identify typical problems and issues during normal course of work and take proactive actions to solve them with minimum guidance.
• Recommends changes to policies and establishes procedures that affect immediate organization(s).
• Impact of decision has moderate to large reach.

• High proficiency in fundamental technical skills (experience with SQL /Tableau/programming/scripting language)
• Has solid knowledge of internal and external business processes and data, systems and flows, as well as analytic tools, processes, and methodologies, solutions do the job with a high level of proficiency and quality.

• Has a solid understanding of EServ financial outcomes, initiatives, strategies, and future directions, as well as organization structures to be able to see the big picture, connect the dots, and navigate organization structures with relative ease.
• Has some basic understanding of business and finance in the context of the PayPal business.
• Developing expertise in one area.

• Offers insight for and contributes to improving existing technology, tools, processes, and business solutions. Adds value to brainstorming sessions.
• Demonstrates excellent verbal and written communication skills on a broad set of technical topics. Presents effectively to peers. Asks open-ended questions.
• Communicates effectively on general business issues.
• Interfaces primarily with immediate project teams to ensure analytic quality of deliverables.

• BS/BA degree in related field equivalent professional work experience.
• 8+ years related professional experience, Master's degree and 6+ years related professional work experience (e.g. Decision scientist, risk management, data analyst, statistician, data scientist, FP&A, product/process manager )
• Excellent spoken and written English - a must
• 3+ years' work experience in risk management - preferred