Full-Time

Senior Data Scientist

Oscilar

Oscilar

51-200 employees

Real-time fraud detection with no-code engine

No salary listed

Remote in USA

Remote

Category
Data & Analytics (1)
Required Skills
MLOps
Microsoft Azure
Python
Data Science
Apache Spark
Machine Learning
AWS
Google Cloud Platform
Requirements
  • 3+ years of experience in data science, machine learning, or a related field, with a focus on fraud prevention and/or anti-money laundering
  • Proficiency in Python
  • Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus
  • Strong knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection
  • Experience working with large datasets using distributed systems like Apache Spark and Dask, handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale
  • Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data
  • Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences
  • Ability to work independently and collaboratively in a fast-paced, dynamic startup environment
Responsibilities
  • Develop and implement advanced fraud detection models, leveraging machine learning and statistical techniques, to identify and prevent fraudulent activities across our platform
  • Collaborate with cross-functional teams, including engineering, product, and operations, to design and implement fraud detection systems and processes
  • Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior, and develop data-driven insights to improve fraud prevention strategies
  • Evaluate the performance of existing fraud detection models and systems, and continuously optimize and update them to adapt to changing fraud trends and tactics
  • Stay up-to-date with the latest trends and advancements in fraud detection, data science, and machine learning, and apply this knowledge to enhance our fraud prevention capabilities
  • Communicate complex data analysis and model performance results to both technical and non-technical stakeholders, driving data-driven decision-making across the organization
  • Ensure data privacy and security compliance in all aspects of fraud detection and data analysis
Desired Qualifications
  • Experience in the fintech, marketplaces, or financial services industry
  • Knowledge of current fraud tactics and trends, as well as experience with fraud detection tools and systems

Oscilar operates in financial technology, offering a real-time fraud detection and risk management platform. It provides a no-code smart decision engine that combines machine learning and heuristic methods, enabling users to create and manage fraud rules and features through a user-friendly interface. The product works by letting financial institutions, e-commerce firms, and other businesses configure and deploy detection rules without heavy engineering effort, with real-time scoring and risk assessment fed by integrated ML models and heuristic checks. The company differentiates itself from competitors by focusing on a no-code rule-building experience, rapid rule creation and updates, and a subscription-based model that reduces the need for bespoke engineering work. Its goal is to help clients quickly implement and adjust fraud detection rules, enhancing operational agility and security while scaling with business needs.

Company Size

51-200

Company Stage

Early VC

Total Funding

$20M

Headquarters

Palo Alto, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Nacha Preferred Partner status strengthens Oscilar's ACH fraud expansion.
  • More than 100 firms, including SoFi and MoneyGram, validate market traction.
  • Customer results show faster deployment, lower review time, and higher underwriting throughput.

What critics are saying

  • Payments incumbents like Galileo bundle adjacent risk tools into core platforms.
  • Large customers can internalize low-code workflows after learning Oscilar's operating model.
  • A major fraud or audit failure would damage trust across regulated financial customers.

What makes Oscilar unique

  • Unified AI risk decisioning spans fraud, AML, credit, onboarding, and disputes.
  • No-code workflows let analysts deploy rules in hours without engineering dependency.
  • Agent Hub coordinates 30-plus AI agents across the customer risk lifecycle.

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Your Connections

People at Oscilar who can refer or advise you

Benefits

Health Insurance

Unlimited Paid Time Off

Remote Work Options

401(k) Company Match

Home Office Stipend

Family Planning Benefits

Professional Development Budget

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-1%

2 year growth

-3%
voco Hotels by IHG
Jun 3rd, 2026
Oscilar Agent Hub: AI platform for fraud & compliance.

Oscilar Agent Hub: AI platform for fraud & compliance. 1h ago · 0:00 listen · Source: PR Newswire Summary. Oscilar has launched Agent Hub, a new platform featuring over 30 AI agents designed for risk operations. This includes areas like fraud, AML compliance, and credit. Here's the thing: The platform helps financial institutions make risk decisions across the entire customer journey. These AI agents share information in real time and learn from human reviews. What's interesting is that over 100 financial institutions, including SoFi and MoneyGram, already trust Oscilar to process tens of billions of risk decisions annually. SoFi saw a 50% reduction in time-to-market, and Nuvei cut alert review time by 50% using Oscilar's agentic risk platform. The bottom line: This new technology aims to tackle financial crime, which is growing significantly faster than the global economy. This is an AI-generated audio summary. Always check the original source for complete reporting.

IT Security News
Mar 30th, 2026
10 best Fraud Detection tools in 2026.

10 best Fraud Detection tools in 2026. 2026-03-30 06:03 Fraud management is detecting, preventing, and responding to fraudulent activity. It entails spotting potential fraud, implementing procedures to prevent fraud, and lessening the effects of fraud. There are several strategies that organizations can use to manage fraud, including: What Does Fraud Detection Software Do? Fraud detection software is designed to identify fraudulent activity by analyzing [...] Read the original article: Information security audit Galileo is delivering fintechs, banks and businesses new ways to fight fraud with the launch of Galileo Instant Verification Engine (GIVE) and Transaction Risk GScore. As digital transactions surge and cyber threats evolve, these tools offer fintechs, financial institutions and businesses advanced real-time fraud detection and risk management capabilities, addressing... September 10, 2024 October 18, 2024 In "Cyber Defense Magazine" Vulnerability assessment tool Oscilar released its AI-powered ACH Fraud Detection product. The solution identifies and prevents fraudulent transactions with unparalleled speed and accuracy by leveraging advanced machine learning algorithms, generative AI techniques, and real-time data analysis and explainability. This innovative solution is critical as the ACH Network - the backbone of the modern... June 14, 2024

The AI Journal Ltd
Mar 12th, 2026
Barte Selects Oscilar's AI-Native Risk Decisioning Platform to Transform Fraud and Compliance Operations

Barte selects Oscilar's ai-native Risk Decisioning platform to transform fraud and compliance operations. Brazilian financial platform Barte powers its next phase of growth with Oscilar and Mastercard risk intelligence PALO ALTO, Calif. & SAO PAULO-(BUSINESS WIRE)-#ai-Barte, a leading payments and financial services platform based in São Paulo, Brazil, announced today that it has selected Oscilar's AI Risk Decisioning(TM) platform to transform its risk, fraud, and compliance operations. With Oscilar, Barte is using AI to improve customer approval processes, giving non-technical teams the ability to quickly design, test and deploy fraud and compliance workflows. The shift reduces time to market, improves operational efficiency and supports Barte's expansion in Brazil's highly competitive fintech landscape. Building Trusted Payments Experiences from Day One Barte supports more than 5,000 businesses across Brazil with infrastructure for payments, credit and receivables, processing hundreds of thousands of transactions each month and is growing rapidly. As volumes scale, the margin for error in fraud decisioning narrows: too much friction slows growth, while missed fraud erodes trust and unit economics. As demand increased, Barte's static, rules-based systems and engineering-dependent workflows made it difficult to keep pace with evolving fraud. Policy changes required weeks of development, while fraud patterns shifted daily. Barte needed a decisioning platform that gave its teams full control to experiment, test and deploy strategies in real time, without disrupting existing integrations. To support its next phase of growth, Barte selected Oscilar as the decisioning layer for its risk operations. Real-Time Risk Decisioning Unlocked by Oscilar and Mastercard With Oscilar, Barte will run fraud and compliance decisions through a single, real-time layer that brings together its existing third-party data with Oscilar's built-in device and behavioral data, powered by bespoke machine-learning models and AI-native risk decisioning. The rollout allows Barte's risk and compliance teams to build, adjust, and A/B test decision logic on their own using low-code tools, cutting the time it takes to make changes from weeks to minutes. As part of the implementation, Barte is integrating Mastercard's Identity risk transaction data directly into Oscilar, keeping trusted signals in place while making it easier to test new rules and models side by side. Decisions run in parallel to meet the low-latency demands of payments, helping Barte block fraud without adding friction during checkout or onboarding. "One of Mastercard's goals is to ensure that security is never an obstacle to innovation. The integration of our Identity solution into Oscilar's platform enables Barte to make precise risk decisions in milliseconds. This means businesses can enjoy a faster, lower-friction transactional risk analysis process without compromising protection against sophisticated fraud," said Marcelo Tangioni, President of Mastercard Brazil. Key Benefits of the Partnership * Faster iteration, less engineering: Risk and compliance teams can build, change and test fraud rules with low-code workflows without relying on engineering. * A complete view of the customer journey: Seamless integration of best-in-class data and risk signals from Oscilar's marketplace, including identity, fraud prevention, and enrichment tools. * Integration with existing solutions: Oscilar's partnership with Mastercard gives Barte access to advanced transaction risk APIs and joint solution design, enabling faster modernization of decisioning without policy disruption. * Streamlined operations and compliance: Risk, fraud, credit and compliance workflows managed in a single, auditable platform, reducing manual workload and supporting Barte's regulatory posture. "At Barte, our goal is to simplify how businesses access and use financial services, helping them lower costs and operate more efficiently," said César Gomes, Risk Director at Barte. "That starts with giving our own teams the tools to move faster and make better decisions. With Oscilar, we can put smarter approval decisions directly in the hands of our teams, improving the experience for our customers." "Barte is building the kind of financial infrastructure businesses across Brazil need," said Neha Narkhede, CEO and co-founder of Oscilar. "Our platform gives their teams the independence to move quickly, with connected intelligence that catches what other systems miss. This is what modern risk operations should look like: teams with full control, unified risk intelligence and the speed to match market growth." Supporting Sustainable Growth Across Brazil's Financial Ecosystem With Oscilar at the core of its risk operations, Barte can continue expanding its footprint across Brazil, supported by a decisioning foundation designed to handle rising transaction volumes, approve legitimate activity more quickly, and manage fraud at scale. For businesses across Brazil, this translates into faster onboarding, fewer unnecessary declines, and a payments and financial platform that can grow alongside them. About Oscilar Oscilar is the AI Risk Decisioning(TM) platform that unifies fraud, credit, onboarding and AML risk in a single, real-time system. Its no-code architecture empowers risk teams with full ownership of workflows, enabling them to build, test and automate policies without engineering dependency. Powered by agentic AI and bespoke machine-learning models, Oscilar connects signals across the entire customer journey to detect sophisticated threats that rule-based systems miss, delivering fully explainable decisions in under 100 milliseconds. Leading banks, fintechs and digital asset platforms rely on Oscilar to move faster than risk with the control and transparency regulators require. About Barte Barte is the operating layer behind how businesses move, manage, and access money in Brazil. Founded in 2022 and headquartered in São Paulo, the company helps enterprises centralize payables and receivables, automate payments and improve liquidity through data-driven infrastructure. Barte's platform supports multichannel payments and embedded solutions used by thousands of businesses across the country.

Business News Today
Dec 11th, 2025
Payoneer (NASDAQ: PAYO) ramps up anti-fraud strategy with Oscilar's agentic AI solution

Payoneer (NASDAQ: PAYO) ramps up anti-fraud strategy with Oscilar's agentic AI solution. Find out how Payoneer is using Oscilar's AI to transform fraud detection and risk intelligence for global payments. Discover what this means for users and investors! Payoneer (NASDAQ: PAYO), the cross-border fintech heavyweight, has announced a partnership with Oscilar, Inc. to deploy artificial intelligence-driven fraud intelligence across its expansive payments platform. The move is aimed at futureproofing Payoneer's risk and compliance strategy as the digital payments landscape becomes more volatile and complex. The company, which enables millions of small businesses, marketplaces, and freelancers to transact internationally, is integrating Oscilar's AI Risk Decisioning platform to deliver a major leap in predictive analytics and real-time threat detection.

Fintech News Switzerland
Nov 10th, 2025
MoneyGram Partners with Oscilar to Upgrade Global Risk Systems

MoneyGram partners with Oscilar to upgrade global risk systems. MoneyGram has announced a strategic partnership with Oscilar, an AI risk decisioning platform, to strengthen its next-generation risk infrastructure. The collaboration supports MoneyGram's AI-first strategy by integrating real-time risk intelligence across its global network to improve efficiency, agility, and performance. To maintain high compliance and consumer protection standards, MoneyGram is enhancing its systems with adaptive risk intelligence through Oscilar's platform. "At MoneyGram, we're reimagining the future of work by embracing AI across all corners of the organisation," said Anthony Soohoo, Chief Executive Officer at MoneyGram. "As part of our transformation, we're investing in next-generation intelligent infrastructure, positioning ourselves for smarter, faster, and safer outcomes. That's especially important when it comes to our global risk management engine, and that's where Oscilar comes in." Oscilar's AI Risk Decisioning Platform is designed for continuous learning, real-time inference, and automated decision-making. Its unified approach to fraud prevention, anti-money laundering (AML), and compliance operations aims to reduce cost and complexity while improving detection accuracy and decision-making speed. This upgrade also supports MoneyGram's ongoing innovation efforts, including its stablecoin-based services. Oscilar's technology will underpin MoneyGram's new risk infrastructure with features such as automated rule optimisation, fraud network detection, device fingerprinting, and behavioural analytics to strengthen protection against emerging threats. "MoneyGram is leading the way in modernising global payments by embracing an AI-first approach to risk," said Neha Narkhede, Chief Executive Officer and Co-Founder of Oscilar. "We're proud to support its transition to real-time, intelligent, and scalable infrastructure that meets the demands of modern payments." The partnership aims to unify MoneyGram's risk and compliance functions on a single scalable platform. Expected outcomes include improved digital identity verification, reduced friction for legitimate users, enhanced operational efficiency, faster data migration, and greater regulatory transparency through better audit trails and reporting. Featured image credit: MoneyGram