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Ramp logoR
RampDataRemote

Data Scientist, Finance

New York, NY (HQ)Full-timeMid-LevelSalary: Not disclosed
Posted Aug 11, 2026Deadline: Nov 21, 2026
Job SnapshotActively hiring
LocationNew York, NY (HQ)
Job typeFull-time
SalaryNot disclosed
DeadlineNov 21, 2026

Finjobsly Role Intelligence

Experience level
Mid-Level
Work style
Remote
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
SQLPaymentsData EngineeringData Science

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Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Design, build, and ship full‑stack data models that ingest, transform, and expose financial data to stakeholders and production systems, while driving experimental design and best‑practice processes.

What they're looking for

3+ years of experience in data science, software engineering, or finance; strong AI and SQL skills; proven track record of delivering scalable products; familiarity with financial metrics or B2B sales metrics.

Why this role matters

Your work directly shapes the infrastructure that moves billions of dollars for Ramp’s customers, enabling them to save money and grow revenue, and informs critical finance‑team decisions.

Best suited to

A high‑agency, fast‑paced builder who thrives in a startup environment, blends technical and finance expertise, and enjoys end‑to‑end ownership of data‑driven solutions.

Fintech requirements

Visa sponsorship: No
Work arrangement: remote

About this role

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

What You’ll Do

  • Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
  • Drive a culture of experimental design, testing agenda, and best practices
  • Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
  • Collaborate with Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions
  • Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action

What You Need

  • Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance
  • Strong AI proficiency as a lever to quickly adopt new skills and subject matter
  • Track record of shipping high quality products and features at scale
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
  • Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes
  • Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries

Nice-to-Haves

  • Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
  • Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
  • Strong intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives)
  • Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
  • Experience partnering with finance teams or within the payments and financial technology space

Benefits available to all full-time Ramp employees (Global)

  • Flexible PTO
  • Centralized home-office equipment ordering
  • Health and wellness stipend
  • Budget for intra-office travel
  • Weekly coffee stipend

United States

  • 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
  • One Medical annual membership
  • 401(k), including employer match on contributions made while employed by Ramp
  • Fertility HRA (up to $10,000 per year)
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
  • Pet insurance
  • In-office perks: lunch, snacks, drinks, and more
  • Relocation expense coverage to NYC or SF (if needed)

Canada

  • Group medical, dental, and vision coverage through Sun Life
  • Life, AD&D, and disability coverage
  • Fertility drug coverage (up to $4,000 lifetime)
  • Group Retirement Plan with employer match (RRSP + DPSP)
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
  • Employee Assistance Program and virtual care through Lumino Health

United Kingdom

  • Private medical insurance through Freedom Elite
  • Virtual GP and at-home care via eMed x Livi
  • Workplace pension through Penfold, with salary sacrifice option
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

Ramp Applicant Privacy Notice

More about this role

About company

Ramp logoR

Ramp

Full employer profile →

Required skills

SQLPaymentsData EngineeringData Science

Explore more

More Data Jobs→More jobs at Ramp→SQL jobs →Payments jobs →Salary benchmarks for this role →Browse all fintech jobs →

Ramp

Data Scientist, Finance

New York, NY (HQ)Salary: Not disclosed

Company insights

67

Happiness score

67/100

Based on 40 verified employee signals

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