Data & AI Generalist
Quick Summary
Securitize, the leader in tokenizing real-world assets with $3.7B+ AUM (as of May 5, 2025), is bringing the world on-chain through tokenized funds in partnership with top-tier asset managers,
Securitize, the leader in tokenizing real-world assets with $3.7B+ AUM (as of May 5, 2025), is bringing the world on-chain through tokenized funds in partnership with top-tier asset managers, such as Apollo, BlackRock, Hamilton Lane, KKR, and others. Securitize, through its subsidiaries, is a SEC-registered broker dealer, digital transfer agent, fund administrator, and operator of a SEC-regulated Alternative Trading System (ATS).
Securitize is a global, fully remote team consisting of top talent from the blockchain and financial services industries. Having raised $170M overall to date, we are backed by some of the largest names in finance and technology, including BlackRock, Morgan Stanley, Blockchain Capital, MUFG, Sumitomo Mitsui Trust Bank, Sony Finance, Banco Santander, Coinbase, among others. Securitize has also been recognized as a 2025 Forbes Top 50 Fintech company.
Before applying, we encourage you to visit us to learn more:
We're looking for a hands-on Data & AI Generalist to own data quality and audit traceability across our platform. You'll make sure our data is clean, trustworthy, and audit-ready in a regulated financial environment — while also getting broad exposure to data engineering, analytics dashboards, and applied AI (internal chatbots, anomaly detection, compliance automation).
This is not a pure analyst role or a pure engineering role. You'll context-switch between writing SQL queries, building data validation pipelines, supporting AI tool development, and working directly with Compliance and Finance teams. If you like variety and care about getting the data right, this is the role.
- 2–4 years of experience in data engineering, analytics, data quality, or a related field
- Solid SQL skills — comfort writing, debugging, and optimizing queries
- Solid Python skills (pandas, scripting, basic automation)
- Attention to detail and a natural instinct for spotting data that "doesn't look right"
- Exposure to cloud data tools (AWS ecosystem preferred) is a plus
- Familiarity with Git workflows
- Self-starter mindset — comfortable context-switching across data quality, AI, and compliance topics
- Experience with data governance, cataloging, or metadata management tools is a strong plus
- Curiosity about blockchain, DeFi, and tokenized assets (direct experience not required)
- English B2+ (daily work is bilingual Spanish/English)
What We Offer
~1 min read- Flexible Paid Time Off – Promoting a healthy work-life balance.
- Equity Grant Opportunities – Share in the success and future growth of the company.
- Remote Work Flexibility – Work from anywhere while staying connected with a dynamic and collaborative team.
What We Offer
~1 min readListing Details
- Posted
- March 23, 2026
- First seen
- March 26, 2026
- Last seen
- April 21, 2026
Posting Health
- Days active
- 26
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- April 21, 2026
Signal breakdown
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