Full-Time
Software Engineer
Scala
Quantifind
51-200 employees
AI-powered SaaS for AML/KYC risk screening
Compensation Overview
$130k - $155k/yr
No H1B Sponsorship
Palo Alto, CA, USA
Hybrid
Hybrid work model with regular in-person touchpoints in Palo Alto, CA.
Bachelor's, Master's
 Software Engineering |
|---|
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- 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 Java Virtual Machine internals and 2+ years of relevant experience working with code that runs in a Java Virtual Machine 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 Representational State Transfer APIs for real-time query engines and web crawlers
- You know how to set up Extract, Transform, Load 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
- Define and deliver data services and machine learning infrastructure for the Platform team
- Own the infrastructure that powers Quantifind’s SaaS products
- Work with cross-functional teams including Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
- Proactively suggest improvements to design, performance, and testing of software
- Balance near-term priorities with forward-looking ways to build a sustainable team culture
- Help ensure security of the company and leverage startup advantages
- Experience with Kubernetes and Docker for container ecosystem
- Scala and/or Java experience
- PostgreSQL experience
- Understanding of JVM internals with 2+ years of JVM experience
- Experience with Apache Spark and/or MapReduce
- Ability to design and prototype scalable algorithms
- Ability to create efficient data structures and algorithms
- Experience writing unit tests and automated integration tests
- Experience building microservices with REST APIs for real-time query engines and web crawlers
- Experience setting up ETL pipelines for data streams
- Familiarity with storage and caching solutions and tradeoffs (Memcached, Redis)
- Strong understanding of concurrency and distributed systems
- Understanding of algorithm complexity and performance implications
- Knowledge of Machine Learning techniques
- Communication skills to work with Data Scientists, DevOps, Front-end Engineers and Product Managers
- Experience at a software startup
- Legal authorization to work in the United States without sponsorship
What Quantifind does: It builds a SaaS platform for financial crime risk screening and investigations, helping banks and other financial institutions meet AML and KYC requirements. How it works: Graphyte uses AI and external data to analyze entities, perform risk scoring, and automate screening from start to finish, reducing false positives and improving entity resolution. How it differs from competitors: It combines decade-long data science expertise with AI-driven risk intelligence and automated workflows to streamline screening and adverse media checks, aiming for more efficient investigations and better accuracy than traditional rule-based or manual systems. What its goal is: To provide financial institutions with an AI-powered, cost-effective tool that automates risk assessments, credit checks, and adverse media screening to improve compliance, save time, and reduce regulatory risk.
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$313.3M
Headquarters
Palo Alto, California
Founded
2009
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Summit Partners led a $200 million investment on June 26, 2026.
- Quantifind says six of the top 10 Tier 1 banks use its platform.
- September 2025 GraphyteQueue and March 2026 agentic updates expand automation across investigations.
What critics are saying
- June 2026 funding from Summit and Citi Ventures signals heavy pressure to prove growth.
- Quantifind had 77 employees in April 2026, limiting delivery capacity against larger rivals.
- AML incumbents like NICE Actimize and LexisNexis can bundle screening, case management, and data.
What makes Quantifind unique
- Quantifind’s Graphyte unifies internal, third-party, and open-source data into one system.
- Its August 2025 OpenSanctions partnership adds source-verifiable sanctions data and auditability.
- June 2026 agentic middleware resolves 90% of cases automatically with 98% escalated precision.
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Benefits
Flexible Work Hours
Remote Work Options
Company Equity
Unlimited Paid Time Off
401(k) Company Match
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -1%2 year growth
↓ -3%Quantifind announces $200 million growth investment led by Summit Partners to advance AI-native Risk Intelligence and governed Agentic Middleware for modern risk operations. Published Jun 26, 2026, 09:00 PM PALO ALTO, Calif., June 26, 2026 /PRNewswire/ - Quantifind, the leader in AI-native Risk Intelligence for modern financial crime and national security operations, today announced a $200 million growth investment led by Summit Partners, with participation from existing investors Citi Ventures, S&P Global, Deloitte, and Stephens Group. As financial crime networks become more sophisticated and operate at increasing speed and scale, financial institutions and government agencies face growing challenges in detecting illicit activity across massive volumes of data while meeting increasingly complex regulatory expectations. Legacy AML, KYC, sanctions screening, and investigative systems can generate excessive false positives, creating operational bottlenecks that slow investigations, create friction for good actors, and divert resources from higher-risk threats. Quantifind's Graphyte(TM) AI-native Risk Intelligence platform is designed to transform financial crime prevention by combining internal and external data with purpose-built language models that power an agentic middleware for entity resolution and risk discovery. Today, Quantifind serves a global customer base, including six of the world's top 10 Tier 1 financial institutions. Its platform supports tens of thousands of financial crime, compliance and national security professionals. Operationalizing Graphyte's Trusted Risk Intelligence for External Agents As financial institutions and government agencies deploy agentic AI, they face a new challenge: turning AI agents from assistants into trusted operators within risk workflows - a leap that no AI agents can make without trusted intelligence, enterprise controls, and governance. Graphyte Agentic Middleware represents a new generation of agentic AI systems for financial crime detection and response. Designed to help AI agents execute complex workflows across risk operations, it is a critical orchestration layer that helps agents to ground decisions in accurate, explainable, and auditable data. By aggregating internal, third-party, and open-source data and applying AI entity resolution and relationship intelligence, Graphyte Agentic Middleware enables AI agents to accelerate investigations, uncover hidden networks, and support high-confidence decisions at enterprise scale, all while preserving regulatory compliance, governance, and human oversight. "Modern financial crime operations require accuracy, speed, scale, and explainability simultaneously - there is no acceptable tradeoff among them in regulated environments," said Ari Tuchman, CEO and co-founder of Quantifind. "As AI transforms risk operations, success will depend on governed AI systems grounded in trusted intelligence and human oversight. Quantifind continues to be the trusted choice for these AI risk applications." Accelerating Global Growth and Customer Impact Quantifind has generated rapid, profitable growth and has demonstrated an ability to deliver measurable operational and economic impact at enterprise scale. An independent Celent economic analysis estimated that Tier 1 banks deploying Quantifind's Graphyte(TM) AI-native Risk Intelligence platform across KYC and sanctions screening alone could reduce annual alert-processing costs by up to $177.9 million, driven by substantially lower false positives and higher-confidence risk decisions. This growth investment will accelerate Quantifind's international expansion across Europe, Asia-Pacific, and the Americas, strengthening regional partnerships, advancing regulatory alignment, and extending localized risk intelligence capabilities to help multinational financial institutions and government agencies combat increasingly sophisticated financial crime and adapt to evolving global regulatory requirements. "Quantifind has established itself as a leader in AI-native Risk Intelligence, a category rapidly becoming fundamental for financial institutions and government agencies," said Chris Dean, Managing Director at Summit Partners, who has joined the Quantifind Board of Directors. "The Quantifind platform is designed to combine high-precision intelligence, explainability, and enterprise-grade scalability to help financial institutions, fintechs, and marketplaces detect and prevent financial crime with precision and speed. We are excited to partner with Ari and the team as they work to extend their global reach and continue advancing trusted AI infrastructure for regulated risk environments." "The financial crime landscape has fundamentally changed. Global institutions face an unprecedented challenge: managing increasingly sophisticated threats across expanding volumes of data, transactions and interconnected entities. Quantifind has built a differentiated AI-native risk intelligence platform designed to bring greater accuracy, speed and scale to these mission-critical operations. We are excited to continue supporting the company as it accelerates its global growth and category leadership," said Vibhor Rastogi, Managing Director at Citi Ventures. About Quantifind Quantifind is the leader in AI-native Risk Intelligence for modern risk operations. We deliver purpose-built solutions that transform how financial institutions and government agencies detect, assess, and mitigate financial crime and national security threats - including the complex networks that enable illicit finance, corruption, sanctions evasion, trafficking, and terrorism. The Graphyte(TM) AI-native Risk Intelligence Platform unifies internal, third-party, and open-source data into a single, high-accuracy risk intelligence system powered by advanced entity resolution, Name Science(TM), dynamic risk typologies, and real-time network graph intelligence. About Summit Partners Summit Partners is a global growth equity firm that invests across growth sectors of the economy and, since the firm's founding in 1984, has invested in more than 550 companies in technology, healthcare, and other growth industries. Summit maintains offices in North America and Europe and seeks to invest in category-leading, profitable growth companies worldwide. The issuer is solely responsible for the content of this announcement.
Quantifind, an AI-driven technology company combating financial crimes, has secured $200 million in funding led by Summit Partners. Previous backers including Citigroup, S&P Global, Deloitte and Stephens Group also participated. The company specialises in tools to detect and prevent money laundering, addressing a global challenge estimated at $2.17 to $3.61 trillion annually. Quantifind's AI-powered solutions analyse vast datasets for patterns and anomalies, helping financial institutions improve transaction monitoring, automate customer due diligence and streamline suspicious activity reporting. The investment will support Quantifind's expansion and product development as demand grows for advanced compliance and risk management solutions. The company's technology helps institutions reduce false positives, lower operational costs and improve regulatory compliance.
Its Graphyte platform aims to help banks and other organizations ferret out money-laundering and other financial crime, the company says.
Quantifind advances agentic execution, analyzing 2 million entities while automatically resolving 90% of risk cases - dramatically reducing manual review and expanding risk Decision Capacity. Mar 17, 2026, 09:05 ET While maintaining 98% precision in escalated matches, agents discovered only 0.13% of the population required analyst review. PALO ALTO, Calif., March 17, 2026 /CNW/ - Quantifind today unveiled advancements in governed agentic risk execution within its Graphyte(TM) AI Risk Intelligence Platform. The enhancements enable financial institutions and government organizations to transform manual risk operations into efficient, scalable, policy-aligned decision execution. Quantifind agentic coordinates specialized AI agents that perform multi-step risk operations across enterprise environments. Operating within governed policy controls, these agents evaluate signals, apply institutional risk criteria, and execute structured compliance actions across workflows such as screening, monitoring, investigations, and case resolution. In a recent large-scale deployment evaluating 2 million entities, Quantifind agents generated 26,780 risk cases while escalating only 2,658 cases for human analyst review. This means just 0.13% of the population required analyst involvement, while approximately 90% of cases were resolved automatically. Risk signals were identified in only 1.3% of the evaluated population, illustrating how meaningful risk is typically hidden within massive volumes of benign activity. Organizations face increasing pressure to manage growing volumes of risk cases, transactions, and counterparties while maintaining rigorous compliance oversight. Traditional approaches rely heavily on manual review and fragmented intelligence systems, limiting scalability and compromising risk decision-making. Powered by Quantifind's risk-specialized intelligence foundation, the Graphyte platform enables agents to continuously evaluate risk signals and execute policy-aligned actions with transparency and control. In operational deployments, this approach has demonstrated up to 90% reductions in manual review workload, 97% reductions in review effort compared with legacy screening environments, and 96% precision in escalated matches, allowing analysts to focus on the highest-risk investigations. Unlike emerging agentic AI approaches that layer large language models onto legacy screening systems, Quantifind agentic is engineered AI risk intelligence purpose-built for high-stakes financial and government environments. The result is defensible agentic execution aligned to institutional policy and audit requirements. "The power of agentic offerings begins with the stack that feeds the agents" said Ari Tuchman, CEO of Quantifind. "Our agentic execution relies on a proprietary signal extraction layer that optimizes for accuracy, scalability and efficiency. Organizations can efficiently isolate meaningful risk within massive populations while dramatically reducing the operational cost of manual review." Quantifind's approach spans the full lifecycle of risk evaluation, from data ingestion and intelligence analysis through automated decision support and case disposition, enabling organizations to expand decision capacity while maintaining the transparency and oversight expected by regulators. Key Benefits: * Reduce Operational Costs While Scaling Risk Operations by replacing large volumes of manual review with governed automation that expands control coverage and increases operational capacity. * Increase Speed Without Sacrificing Governance through continuous evaluation of customers, transactions, and counterparties operating within defined institutional policy boundaries. * Reduce Revenue Friction Across the Customer Lifecycle with faster onboarding, payment clearance, investigations, and case resolution that improve customer experience and revenue velocity. * Expand Decision Capacity Beyond Human Limits with enterprise-scale risk evaluation operating within configured authority thresholds and escalation rules. * Ensure Audit and Regulatory Alignment through transparent evidence generation, documented search coverage, and structured reasoning aligned with Model Risk Management expectations. "With over 90% of financial institutions planning to implement agentic AI in the next two years, this is no longer a future bet. It's a competitive requirement. Quantifind's latest enhancements show a clear understanding of what regulated institutions actually need: AI built by experts, for experts." - Michael Shepard, former Global Head of Financial Crimes at Deloitte About Quantifind Quantifind is the leader in AI-powered risk intelligence and governed agentic automation. We deliver purpose-built solutions that transform how financial institutions and government agencies detect, assess, and mitigate financial crime and national security threats - including the complex networks that enable illicit finance, corruption, sanctions evasion, and terrorism. The Graphyte(TM) AI Risk Intelligence Platform unifies internal, third-party, and open-source data into a single, precise risk intelligence system powered by advanced entity resolution, Name Science(TM), dynamic risk typologies, and real-time network graph intelligence. SOURCE Quantifind
Quantifind has unveiled advancements in its Graphyte AI Risk Intelligence Platform, demonstrating that agentic AI can automatically resolve 90% of risk cases whilst maintaining 98% precision in escalated matches. In a deployment evaluating 2 million entities, the system generated 26,780 risk cases but escalated only 2,658 for human review, meaning just 0.13% required analyst involvement. The platform uses specialised AI agents that perform multi-step risk operations within governed policy controls, evaluating signals and executing compliance actions across screening, monitoring and investigations. The approach has shown up to 90% reductions in manual review workload and 97% reductions in review effort compared with legacy screening systems. Quantifind serves financial institutions and government organisations, offering purpose-built solutions for detecting financial crime and national security threats.