Data Scientist
About the job
- A Master's degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field.
- At least 2 years of professional industry experience, in addition to academic experience.
- Proficiency in two or more of Scala, Java, Python, and R.
- Strong quantitative and analytical ability to translate imprecise business requirements into quantitative problems.
- In-depth knowledge of statistics, probability, and machine learning, including bias-variance trade-off, regularization, dimension reduction, and model explanation.
- Ability to apply software engineering best practices to build scalable, reliable machine learning pipelines; comfort prototyping algorithms, iterating quickly, and collaborating.
- Prior experience working with large-scale datasets of millions of records using SQL and Spark.
- Strong written and verbal communication skills and experience explaining assumptions, conclusions, and methodology to technical and non-technical audiences.
- Translate real-world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code.
- Bring data science solutions from research through production.
- Work closely with Product Management and Platform engineering teams to anticipate company needs and deliver mathematical tools to end users.
- Prior experience with Natural Language Processing methods such as word and contextual embeddings, named entity recognition, topic modeling, large-scale document classification, and sequence-to-sequence models.
Who You Are
You are a data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world business challenges faced by leading international financial institutions. You want to apply your expertise in statistics and computer science using Quantifind’s state-of-the-art infrastructure to solve problems in Natural Language Processing, such as Entity Resolution, Document Classification, building Knowledge Graphs, and Topic Modeling. You are excited to work at a fast-growing company where you will have the chance to expand your scientific and engineering skills in new areas. You share Quantifind’s commitment to winning together and are eager to see your coworkers build on the technical foundations you will be creating. You are passionate about maintaining the high scientific and engineering standards required to enable your peers. Above all, you are a curious and independent problem solver who is motivated to find a place where your skills can have a real impact.
You’re looking to explore a client-facing role at the intersection of software and consulting. You are obsessed with the idea of delighting clients at some of the world’s leading Financial Institutions, helping them identify financial crimes.
You have always been a strong critical thinker and know how to problem solve.
You are an excellent communicator with the ability to distill complex concepts into clear and effective verbal and written presentations. You are comfortable working closely with Sales, Product, and Technology teams to promote a Customer Centric culture.
You have an entrepreneurial spirit with a deep sense of personal accountability for work product quality and always take the initiative to propel work products to new heights. You maintain a positive attitude even in a deadline-driven environment, bring out the best in others, and enjoy contributing to the success of the team.
Who We Are
Quantifind is the Risk Intelligence company. We help some of the world’s biggest banks identify money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security. Unlike other players in this space, Quantifind delivers results through an AI-driven software-as-a-service (SaaS) solution with consumer-grade user experiences.
Quantifind’s Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today, these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. Demand for this solution is fueling our rapid growth.
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:
- Master’s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field.
- At least 2 years of professional industry experience, in addition to your academic experience.
- Proficient in two or more of the following: Scala / Java, Python, R.
- Outstanding quantitative and analytical ability. Able to take less-than-precise business requirements and translate them into Quantitative problems that you enjoy solving.
- In-depth knowledge of Statistics / Probability / Machine Learning, including foundations such as bias/variance trade-off, regularization, dimension reduction, and model explanation.
- Prior experience with Natural Language Processing (NLP) methods such as Word and Contextual Embeddings, Named Entity Recognition, Topic Modeling, large-scale Document Classification, and Sequence-to-Sequence Models is a significant plus.
- Ability to apply software engineering best practices to build scalable, reliable ML pipelines. Comfortable prototyping algorithms, iterating quickly, and working collaboratively.
- Prior experience working with large-scale datasets (Millions of records) using SQL and Spark.
- Excellent written and verbal communication skills, prior experience explaining assumptions, conclusions, and methodology to technical and non-technical audiences.
The Opportunity We Offer
Quantifind is seeking to fill a Data Scientist position on our Data Science team. We work closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state-of-the-art mathematical tools into the hands of end users. Members of the Data Science team translate real-world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code. Our team values a creative and empathetic approach to problem-solving and strives to maintain rigorous scientific and engineering standards. We will give you the opportunity to work on the full spectrum of data science challenges, bringing solutions from research all the way to production.
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 $140,000 to $170,000. 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 the company
Quantifind builds software that banks and government agencies use to screen customers, investigate financial crime and assess risks in vendors or business partners. Its Graphyte platform uses machine learning to connect names with relevant records, then ranks evidence from news, watchlists and company data for review. Analysts search through a web application, generate investigation reports and access the same intelligence through APIs and links to existing case-management systems. The company sells Graphyte as cloud software for compliance and investigation teams, with tools for individual queries and large batches of names. Founded in 2009, Quantifind is headquartered in Palo Alto, California.
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$313.3M
Headquarters
Palo Alto, California
Founded
2009
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Simplify's Take
What believers are saying
- Employees pay a small premium share: Quantifind covers 95% of medical, dental and vision premiums for employees and families.
- A digital bank validates adoption: Varo's compliance chief says Graphyte scales with the bank's growth.
- Distribution reaches existing screening users: Quantifind partners with FinScan to add Graphyte intelligence to established compliance workflows.
What critics are saying
- Equity lacks a public market: Quantifind remains privately held and gives full-time employees equity.
- Input quality limits screening: Graphyte warns when incomplete names are unlikely to return accurate results.
- Engineering requires documented models: Quantifind's government offering promises transparent AI models backed by source evidence.
What makes Quantifind unique
- Name matching crosses language barriers: Graphyte resolves entities in native Chinese, Russian, Japanese and Korean sources.
- Physics shaped its research approach: both Quantifind founders were quantum physicists studying signals in complex data.
- Customer data stays local: Graphyte keeps customer information within the organization's own jurisdiction.
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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
1%1 year growth
-2%2 year growth
-4%Quantifind establishes Asia-Pacific headquarters in Sydney as regional demand accelerates. Qing Liu appointed General Manager, Asia Pacific, as the company expands investment and customer support across the region. Quantifind has announced the opening of its first Asia-Pacific office in Sydney and the appointment of a dedicated regional leadership team, led by Qing Liu as General Manager, Asia Pacific. The expansion follows growing customer demand across Asia-Pacific. Establishing a permanent presence in Sydney will enable Quantifind to deepen its support for financial institutions across Australia, while using the market as a platform for broader Asia-Pacific growth. The Sydney office is a key milestone in the international expansion announced following Quantifind's $200 million growth investment led by Summit Partners, with participation from Citi Ventures, S&P Global, Deloitte, and Stephens Group. That investment identified Asia-Pacific, Europe, and the Americas as strategic priorities. Growing demand for modern financial crime intelligence Financial institutions across Asia-Pacific are modernising financial crime operations as regulators increase scrutiny of sanctions evasion, scams and mule networks, cross-border payments, customer due diligence, and complex ownership structures. At the same time, institutions face a growing operational challenge. The volume and complexity of risk signals is increasing faster than compliance teams can investigate them. Legacy rules and keyword-based approaches generate large volumes of false positives, creating unnecessary customer friction while consuming investigative capacity that could be focused on genuine risk. Regional leadership Quantifind has appointed Qing Liu as General Manager, Asia Pacific. Qing brings deep domain expertise across anti-money laundering and counter-terrorism financing (AML/CTF), know your customer (KYC), sanctions screening, third-party risk management, and Australian regulatory frameworks. She spent over twelve years at Moody's, most recently as Asia-Pacific Head of Solution Specialists and Industry Practice Leads, and was named Compliance Leader of the Year at the 2024 Women in Banking and Finance Awards. The company has also appointed Stephen Ngo as Head of Solution Delivery, responsible for implementation and technical delivery across the region, and Elizabeth Luu as Senior Customer Success Manager, supporting institutions across Australia and Asia-Pacific. Qing Liu, General Manager, APAC, Quantifind said, "Financial crime teams are not short of alerts. They are short of time, and they increasingly need to defend every decision they make. The opportunity for AI is not simply to automate existing processes, but to dramatically improve the precision of the intelligence behind those decisions. With a team on the ground, we can combine Quantifind's global technology with the regulatory, market, and customer context that is specific to Asia-Pacific." Proven at enterprise scale Quantifind serves six of the world's ten largest Tier 1 financial institutions and supports tens of thousands of financial crime, compliance, and national security professionals globally. Customers have achieved significant improvements in investigative efficiency and reductions in false positives. An independent Celent economic analysis found that a Tier 1 bank deploying Graphyte across KYC and sanctions screening could reduce annual alert-processing costs by as much as $177.9 million.
FinScan and Quantifind unite to sharpen AML risk view. September 8, 2026 FinScan, an Innovative Systems solution and provider of AML and sanctions compliance technology, and Quantifind, a provider of AI-powered financial crime and national security risk intelligence, have formed a strategic partnership designed to help compliance teams identify financial crime risks before they appear on formal watchlists. The partnership integrates Quantifind's AI-driven adverse media intelligence into FinScan's existing sanctions, politically exposed person (PEP) and watchlist screening workflows. The integration gives compliance teams a unified view of screening activity, while FinScan's precision matching and data quality tools are designed to filter duplicate and low-value alerts and connect relevant adverse media findings to a customer's overall risk profile. At the centre of the integration is Quantifind's Graphyte platform, which continuously scans global news and other public sources for emerging financial crime risks. Built on purpose-built language models, AI-driven entity resolution and dynamic risk typologies, Graphyte processes multilingual content while keeping client data within an organisation's own jurisdiction. The combined platforms allow institutions to continuously monitor customers, suppliers and counterparties against global news and investigate confirmed risks within the same workflow used for sanctions and watchlist checks. The offering is aimed at banks, insurers, payment providers, FinTechs and other regulated firms seeking to strengthen AML controls, reduce investigative workloads and accelerate risk decisions. The partnership comes as regulators increasingly focus on whether AML controls are effective rather than simply whether they exist. FATF's fifth round of mutual evaluations places greater emphasis on measurable outcomes, while the Wolfsberg Group continues to advocate a risk-based approach. Adverse media is an important part of this challenge, as individuals linked to money laundering, human trafficking and corruption may never appear on a formal sanctions list. Innovative Systems' FinScan provides AML compliance technology for hundreds of organisations, covering KYC, sanctions screening, risk scoring and data quality. Quantifind provides AI-powered risk intelligence through its Graphyte platform, combining internal, third-party and open-source data to help organisations identify financial crime risks. FinScan chief operating officer Deborah Overdeput said, "Regulators increasingly expect AML programs to demonstrate effectiveness, not simply the existence of controls. Adverse media has become one of the hardest areas to get right because the volume is enormous and much of it is noise. Compliance teams can spend countless hours reviewing alerts while still missing the customer who was never on a watchlist. Graphyte helps identify what matters, while FinScan provides the data quality, precision matching, and workflow to turn those insights into action." Quantifind COO Graham Bailey added, "Modern compliance programs need adverse media intelligence that is accurate, explainable, and fast enough to support confident decision-making. Graphyte was built to resolve entities and assess risk across vast volumes of public data with the transparency regulated organizations require. Partnering with FinScan enables compliance teams to incorporate that intelligence directly into their existing screening workflows, helping analysts make faster, more informed decisions." The partnership reflects a broader shift towards continuous and intelligence-led AML monitoring, as regulated firms seek to identify risks beyond traditional watchlists and strengthen how they assess customers and counterparties. Enjoying the stories? Investors. The following investor(s) were tagged in this article.
FinScan and Quantifind partner on adverse media screening. FinScan has partnered with Quantifind to integrate AI-powered adverse media intelligence into anti-money laundering (AML) screening workflows. FinScan has partnered with Quantifind to integrate AI-powered adverse media intelligence into anti-money laundering (AML) screening workflows. The integration embeds Quantifind's adverse media screening capabilities directly into FinScan's existing sanctions, politically exposed person (PEP), and watchlist screening processes, giving compliance teams a single view of screening activity across these categories. FinScan's alert suppression technology is designed to reduce duplicate and low-value alerts, while linking adverse media findings to a customer's overall risk profile. According to the companies, this is intended to reduce the volume of alerts compliance teams must review manually while improving the reliability of the resulting risk decisions. Graphyte, Quantifind's platform, analyses global news and other public sources on an ongoing basis to identify financial crime risk signals before an entity appears on a formal watchlist or sanctions list. The platform uses purpose-built language models, entity resolution technology, and risk typologies to process multilingual content, and is designed to keep customer data within an organisation's own jurisdiction. Combined, the two systems allow institutions to continuously monitor customers, suppliers, and counterparties against global news sources, with confirmed risks investigated and resolved within the same workflow used for sanctions and PEP screening. The companies describe the target market for the joint solution as banks, insurers, payment providers, fintechs, and other regulated entities seeking to strengthen AML compliance and reduce investigative workload. The partnership follows a shift in how regulators assess AML programmes. The Financial Action Task Force's (FATF) fifth round of mutual evaluations places greater emphasis on measurable programme effectiveness rather than the presence of controls alone, while the Wolfsberg Group continues to promote risk-based approaches to compliance. In addition, adverse media screening has become a focal point in this context, as institutions can face exposure to money laundering, human trafficking, and corruption risks connected to individuals or entities that have not been formally sanctioned or listed. Deborah Overdeput, Chief Operating Officer, FinScan, said adverse media has become difficult for compliance teams to manage given the volume of data involved, much of which does not constitute genuine risk, and that the partnership is intended to help teams identify relevant signals while providing the data quality and workflow tools to act on them. Furthermore, Graham Bailey, COO of Quantifind, said the integration allows compliance teams to incorporate adverse media intelligence into workflows they already use, supporting faster analysis grounded in transparent, explainable risk assessment... Sep 08, 2026 00:00
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.