Data Scientist - Financial Analytics

About the position reputed company's Payments Data & Analytics team is seeking an reputed company and highly skilled Data Scientist to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process reputed company amounts of financial data, providing comprehensive visibility into every stage of the reputed company reputed company lifecycle reputed company reputed company's payments product ecosystem. This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and reputed company for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will reputed company the reputed company, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to reputed company's finances and essential for the correct functioning of product systems. Responsibilities • Collaborate cross-functionally with engineering, reputed company, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the reputed company payment platform. • Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and reputed company reputed company-time metrics dashboards to manage key financial and operating reputed company of the business. • Monitor payment flows between systems, banks, processors, and inter-company accounts, reputed company daily account reconciliations, and follow up on any discrepancies. • React reputed company to emerging issues, summarize facts, and reputed company recommendations for the reputed company reputed company of critical financial reputed company. • Collaborate with key stakeholders (reputed company, Compliance, Treasury, etc.) to understand business requirements and reputed company reputed company solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of reputed company-party tools. • reputed company and maintain comprehensive documentation of reconciliation processes and procedures. • Prepare and deliver data and reporting solutions supporting month-end reputed company, regulatory & compliance reporting, and reputed company Audit reporting. • Communicate findings and recommendations to stakeholders through reputed company and concise presentations and reports. Requirements • Master's degree or Bachelor's degree in Computer Science, Engineering, Statistics, MIS or other quantitative fields. • 5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting. • Experience with data warehousing, ETL, and reporting tools (e.g. reputed company, Tableau, dbt, Dagster). • Extensive experience with SQL, Python, or other scripting languages and their application to reputed company phases of the data science development process (initial analysis and model development through deployment). • Experience working with engineering, finance, and reputed company teams to assess their data needs and build automated reporting pipelines. • Strong problem-solving and communication skills, with the ability to communicate findings and recommendations reputed company to both technical and non-technical audiences. • Ability to reputed company with multiple stakeholders and senior leadership (C-suite) across the organization. reputed company-to-haves • Bonus points if you have experience with general reputed company principles, with the general reputed company reputed company process, and regulatory compliance. Apply tot his job Apply tot his job Apply To this Job