Data Scientist - Financial Analytics jobs in United States
cer-icon
Apply on Employer Site
company-logo

Rippling · 3 days ago

Data Scientist - Financial Analytics

Rippling is a company that provides a unified platform for managing HR, IT, and Finance. The Data Scientist role focuses on processing financial data and ensuring accurate transaction settlements, collaborating with various teams to deliver critical financial insights.

EmploymentHuman Resources
check
H1B Sponsor Likelynote

Responsibilities

Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform
Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business
Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies
React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters
Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools
Develop and maintain comprehensive documentation of reconciliation processes and procedures
Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting
Communicate findings and recommendations to stakeholders through clear and concise presentations and reports

Qualification

Statistical analysisMachine learningSQLPythonData warehousingETL toolsReporting toolsStakeholder managementProblem-solving skillsCommunication skills

Required

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. Snowflake, Tableau, dbt, Dagster)
Extensive experience with SQL, Python, or other scripting languages and their application to all phases of the data science development process (initial analysis and model development through deployment)
Experience working with engineering, finance, and accounting 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 clearly to both technical and non-technical audiences
Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization

Preferred

Experience with general accounting principles
Experience with the general ledger close process
Experience with regulatory compliance

Benefits

Competitive salary
Benefits
Equity

Company

Rippling

company-logo
Rippling is a workforce management platform that unifies HR, IT, and finance operations into a single system.

H1B Sponsorship

Rippling has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (42)
2023 (70)
2022 (81)
2021 (33)
2020 (6)

Funding

Current Stage
Late Stage
Total Funding
$2.44B
Key Investors
CoatueGreenoaksFounders Fund
2025-05-09Series G· $450M
2024-04-22Series F· $200M
2024-04-22Secondary Market· $590M

Leadership Team

leader-logo
Albert Strasheim
Chief Technology Officer
linkedin
leader-logo
Adil Syed
CFO
linkedin
Company data provided by crunchbase