---
title: 'Software Engineer (Scala) at Quantifind'
canonical: 'https://feeny.ai/job/software-engineer-scala-quantifind-palo-alto-cj8pj33cv8xd'
type: 'job'
last_seen: '2026-09-09'
---

# Software Engineer (Scala) at Quantifind

- **Company:** Quantifind
- **Location:** Palo Alto, CA
- **Posted:** 2026-05-22
- **Last confirmed live:** 2026-09-09
- **Apply:** https://www.quantifind.com/open-positions/?gh_jid=7955191

## Job description

## Who You Are

Quantifind is seeking a Software Engineer for our Platform team to help define and deliver data services and machine learning infrastructure. The Platform team owns all the infrastructure that powers the SaaS products we build for our customers. We process terabytes of data each day on our own dedicated Hadoop clusters. We use real-time data services to enable interactive investigations in our web applications. We use Kubernetes and Docker for our container ecosystem, and we develop standalone services in Scala and Python and use Spark for MapReduce jobs.

You care deeply about your work and its impact on the work your team does. You hold yourself to a high standard when it comes to writing clean, performant, and maintainable code that powers well-designed microservices and enhances Quantifind’s distributed data platform. You work well with cross-functional teams that include Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers. You are proactive in suggesting how to improve the design, performance, and testing of the software that you build. You can effectively balance near-term priorities with forward-looking ways to build a sustainable team culture. You value the security of a company with a proven business model and enjoy the opportunities a startup offers.

## Who We Are

Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as Software-as-a-Service (SaaS) with consumer-grade user experiences.

Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk. While incumbent solutions based on legacy technologies demand increasingly more human resources as the operations expand, Quantifind’s SaaS solution scales by offering a way to cut through the inefficiency and enhance effectiveness through Machine Learning driven solutions that resolve for both accuracy and relevance.

To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.

What A Great Candidate Looks Like:

- BS or MS in Computer Science
- Professional software engineer for 2+ years with a focus on platform engineering
- Professional experience with Scala and/or Java
- Professional experience working with PostgreSQL
- Understanding of JVM internals and 2+ years of relevant experience working with code that runs in a JVM preferred
- Experience with Apache Spark, and/or general MapReduce technologies preferred
- You can design and prototype scalable algorithms
- You can create your own efficient data structures and algorithms when the ones found in open source libraries are lacking
- Professional experience writing unit tests and automated integration tests
- You can build microservices with REST APIs for real-time query engines and web crawlers
- You know how to set up ETL pipelines for data streams
- Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, etc.) preferred
- Solid understanding of concurrency and distributed systems
- Understanding of algorithm complexity and performance implications
- Knowledge of Machine Learning techniques preferred
- Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
- Professional experience at a software startup strongly preferred
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

The Opportunity We Offer

Quantifind is seeking a Software Engineer for our Platform team in Palo Alto, California. You will work on Quantifind’s Scala infrastructure to generate risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more.

Quantifind’s development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.

A highlight of our benefits:

- Competitive salary
- Company Equity
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
- A fun environment where work-life balance is valued

The base salary range for this full-time position is $130,000 to $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.

Will you join us? Apply now!

## About Quantifind

## Company Overview
- **One-liner**: Quantifind provides an AI-powered SaaS platform for automating anti-money laundering (AML) and know your customer (KYC) risk screening and investigations for banks and government agencies.
- **Entity Type**: Private (Series H‑II, total funding of $117.9M)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2009
- **Founders**: Ari Tuchman, Ph.D. and John Stockton, Ph.D.

## Core Business
- Primary industry: Financial crimes automation, AML/KYC compliance, risk intelligence
- Target customers: Tier 1 banks, regional banks, digital banks, Fortune 50 companies, and U.S. Department of Defense (B2B, enterprise, government)
- Mission: Reinvent crime investigation with AI by interrupting the flow of money through criminal networks, helping banks and law enforcement combat human trafficking, terrorism, drug smuggling, and other financial crimes.

## Products & Services
- **Graphyte™ Platform** (SaaS): End-to-end intelligent financial crimes automation solution. Includes watchlist screening, adverse media screening, credit risk assessment, and investigation tools. Features AI-driven entity resolution with 90% accuracy, dynamic risk typologies, real-time sanctions/PEP coverage, and patented data management. Provides productivity gains of over 40% for compliance teams.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding of $117.9M (Series H‑II, active status)
- **Notable Investors/Partners**: Not explicitly named in available sources, but customers include Tier 1 banks, Fortune 50 companies, and the U.S. Department of Defense. The company has over a decade of successful engagements with these organizations.
- **Growth Signals**: Selected repeatedly over dozens of alternatives by large organizations; used by government agencies and leading financial institutions globally; patented technology with 12 patents filed; continues to expand public sector and financial services footprint.

## Competitive Advantages
- **Patented AI & Data Science**: Over a decade of R&D in machine learning, NLP, risk modeling, name science, knowledge graphs, and entity resolution – founded by quantum physics PhDs.
- **Extreme Accuracy**: Entity resolution at 90% accuracy; best-in-class risk assessment accuracy that reduces false positives and focuses on real risks.
- **Pure SaaS & Comprehensive Data Coverage**: Single platform covering thousands of live data sources, real-time sanctions/PEP lists, adverse media, and credit risk indicators.
- **High‑Stakes Trust**: Used by the Department of Defense and Tier 1 banks for mission-critical crime fighting – a strong testament to reliability and audit‑ready evidence.

## Strategic Focus
- End-to-end automation of AML/KYC workflows, from screening to investigations and reporting.
- Deepening public sector and defense relationships while expanding digital and regional bank adoption.
- Continued investment in AI-driven risk typologies and scalability (daily monitoring of tens of millions of customers).

## Why Work Here
- **Mission‑Driven**: Work on software that directly complicates the lives of criminals – human traffickers, terrorists, drug smugglers – by disrupting their financial networks.
- **Culture & Values**: Curiosity, respect, proactive transparency, relentless problem‑solving, and winning together. Cross‑department collaboration encouraged.
- **Hybrid & Remote‑Friendly**: Headquarters in Palo Alto (collaborative open‑plan office with meditative spaces), plus offices in New York City, Atlanta, Boston, and Washington, D.C. Flexible remote/in‑office options and flexible hours. No clock‑in culture, no PTO tracking.
- **Compensation & Benefits**: Competitive salary, meaningful equity (for full‑time employees), 95% premium coverage for medical/dental/vision plans, 4% dollar‑for‑dollar 401k match after 3 months, FSAs, life insurance. Performance reviews twice a year with advancement opportunities.
- **Learning & Growth**: Opportunities to work on groundbreaking data science and AI technologies; encouraged to take classes and attend conferences; collaborate across departments.

## Sources
1. [Quantifind Website](https://www.quantifind.com/)
2. [Quantifind Careers](https://www.quantifind.com/careers/)
3. [Quantifind LinkedIn](https://www.linkedin.com/company/quantifind)
4. [Quantifind About Us](https://www.quantifind.com/about/)
5. [CB Insights Company Profile](https://www.cbinsights.com/company/quantifind)

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