Arch is a Series A financial technology company that automates the management of private investments, improving access, understanding, and the human experience of investing across asset classes.
Private investments such as venture capital, hedge funds, and private equity, make up roughly 25% of the investment universe. Traditionally, investors, advisors, banks, families, and managers track hundreds of investments in complicated spreadsheets, file folders, and busy inboxes. Not only is this tedious and time-consuming, but it is rife with opportunity for manual data entry errors, inconsistent reporting, and lost information. Enter, Arch.
Arch delivers standardized data, documents, and insights in a single platform, avoiding the need to chase information across dozens or hundreds of ‘portals’. Our purpose is to save investors’ time while empowering them to make more informed investment decisions, leading to better financial outcomes.
We are a fast-growing, dynamic team of 120+, serving over 400 clients, including several of America’s largest banks, families, and financial institutions. We’ve over doubled the size of the company every year since inception and we are looking to hire in all departments as we scale.
About the Role:
We’re looking for a Data Quality Associate to help keep the engine of Arch running smoothly. Private investment data can be complex and messy - your job will be to help clean it up, spot issues before they become problems, and make sure our clients always have the most accurate information at their fingertips. You’ll work across teams, dig into details, and use your curiosity to turn raw data into something reliable and usable.
What You’ll Do:
Use automated tools to monitor data and flag potential issues.
Investigate problems, partner with teammates across Operations and Engineering, and help fix root causes.
Review new data sets with a critical eye - spotting discrepancies, reconciling accounts, and making sure everything adds up.
Keep records of what you find and how you fix it, so we can continuously improve our systems.
Share your findings with the team and highlight opportunities to make our platform even better.
Collaborate with onboarding, support, operations, and engineering teams to make sure client data is complete and accurate from the start.
What We’re Looking For:
Recent Graduate (within 12 months) or Graduating in Winter 2025 or Spring 2026 with a degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
Have experience with data analysis through coursework, internships, or projects (bonus if you’ve worked with financial or investment data).
Experience using SQL, Python, or data visualization tools.
Enjoy solving puzzles, spotting patterns, and catching the details others might miss.
Can explain technical findings clearly to teammates who don’t live in data all day.
Take pride in finishing what you start and making sure it’s polished and accurate.
Want a first job that blends tech, problem-solving, and mentorship.
Bring creativity to your work (and know how to have fun while doing it).
Bonus points if you:
Are familiar with the alternative investment industry and the mechanics of investing in private equity, hedge funds, and private companies.
Have a background in private banking, investment management, or a related field.
Have taken finance or accounting courses.
All of our full-time roles are based onsite at our New York City office, where our team thrives on in-person collaboration and dynamic teamwork. Being onsite daily enables us to build strong connections, collaborate effectively to solve challenges, and foster an engaging environment focused on shipping product and delivering exceptional service to our clients.
We encourage applicants currently located in or willing to relocate to the NYC area to join us in this exciting, hands-on workspace.
Strong Team - You’ll be backed by a strong team that consistently exceeds client expectations and ships new products quickly.
Your work is high impact - Being part of a small team means you have real responsibility and impact from day one. You'll be involved in discussions that drive the growth and direction of our platform from the very beginning.
Product Market Fit - We have strong product market fit, exceptionally low churn, and have grown mostly organically through word of mouth.
Team community and camaraderie - We have enormous trust in each other and always do what we can do to support one another. We're always ready to step in to help.
Great office - we’ve invested in a great space for the Arch team to come together, at 18th and Park in Manhattan (the old Buzzfeed / NYT headquarters).
Lunch is on Us - Grab lunch on us while you’re in the office and take a break to laugh, brainstorm, or just hang out with your teammates over a meal.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Senior Analytics Engineer at Ramp to design and deliver production-grade data models, dashboards, and analytics that inform product, risk, and growth decisions across the business.
Rula is hiring a Staff Analytics Engineer to build scalable dbt-based data models and BI assets that power clinical and operational insights across the company.
Experienced data operations professional needed to lead complex client implementations and maintain large-scale healthcare data pipelines using HL7, FHIR, X12, and batch processes for R1's platform.
ChabezTech seeks a seasoned Data Engineer (5+ years) proficient in PySpark, Databricks and AWS to build and optimize ETL and analytics pipelines for telecom and retail engagements.
Lead development of scalable cloud-native data pipelines and analytics platforms at CVS Health to enable data science, reporting, and product initiatives while mentoring junior engineers.
Socure seeks a Senior Backend Engineer to build and optimize large-scale batch and real-time data pipelines and velocity systems that power identity verification and fraud prevention.
Experienced analytics leader needed to build and lead Tava Health’s analytics function, translating data into strategic insights that drive measurable business impact.
Design and operate scalable data pipelines and analytics solutions as a Senior Data Engineer on Visa's Foster City technology team.
Experienced data strategy and architecture leader needed to advise executives, design cloud-native data platforms, and lead implementations across enterprise clients.
Patterson Companies is hiring a remote Data Engineer to build and maintain data applications, optimize database performance, and support data-driven solutions across platforms.
Noetica is hiring a Senior/Staff Data Platform Engineer to design, build, and scale the core data infrastructure that productionizes ML research and delivers high-quality structured data to product teams.
Senior Business Solutions Architect to define and drive enterprise data and governance strategy for supply chain and manufacturing systems at NVIDIA.
Experienced Lead Data Engineer needed to architect scalable data solutions, lead a technical team, and enforce data governance and quality for a remote role with Arch Capital Services.