Senior Risk Consultant

🕒 May 13

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🎲 Risk

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DataVisor

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

💳 Fintech

☁️ SaaS

💰 Series C on 2019-10

Finance • Fintech • SaaS

DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.

📋 Description

• Partner with clients to understand business logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired business outcomes • Translate business challenges into actionable risk and solution requirements • Lead technical discussions with clients’ risk, fraud, AML, and data teams to ensure complete and high-quality data collection • Own data transfer coordination and data quality validation • Conduct data analysis and fraud pattern analysis using strong domain expertise and business judgment • Design, recommend, test, and iterate on detection strategies to improve risk outcomes • Configure DataVisor platform components such as Rules Engine, Decision Flows, Case Management, Knowledge Graph, and BI Dashboards • Deliver tailored solutions that generate strong business value for clients • Partner with the ML Modeling team to develop, tune, and evaluate supervised and unsupervised fraud detection models • Analyze model performance metrics and provide guidance on threshold setting and decisioning strategies • Manage solution delivery projects using project management tools such as Monday.com • Own the creation, maintenance, and reporting of key internal and customer-facing project deliverables • Present project findings, recommendations, and solution outcomes to business and technical stakeholders • Demonstrate configured solutions and articulate business impact clearly and effectively

🎯 Requirements

• 4+ years of experience in fraud and/or AML strategy, analytics, or modeling • 2+ years of experience leading client-facing data analytics or consulting projects • Strong domain knowledge of fraud and AML use cases within the financial services industry • Advanced SQL skills, including complex joins and layered business logic • Familiarity with Python, R, and Java is a plus • Experience using LLM tools such as ChatGPT and Claude to accelerate research, problem-solving, and documentation • Experience configuring technical products and debugging feature, rule, and result behavior • Excellent communication, presentation, and interpersonal skills • Strong analytical, problem-solving, and results-oriented mindset • Strong documentation discipline and interest in automation using AI tools and agents • Ability to collaborate effectively in a fast-paced team environment and manage multiple projects simultaneously • Bachelor’s degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related discipline

🏖️ Benefits

• Stock options, Medical insurance, 401K, PTO • Why Join DataVisor • - Work on high-impact projects that help protect businesses and consumers from fraud and financial crime • - Collaborate with a talented and diverse team of experts in AI, machine learning, and data science • - Grow your career in a flexible and supportive work environment • - Receive a competitive compensation and benefits package • - Work remotely (eastern time zone preferred)