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DataVisorDA

Senior Risk Consultant - US East

DataVisor is an AI-powered fraud and risk management platform that utilizes unsupervised machine learning to help enterprises detect and prevent various digital threats in real-time.

DataVisor

Employee count: 51-200

United States only

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DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview

DataVisor is seeking a Senior Risk Consultant to join our Professional Services team. In this role, you will lead a variety of technical and strategic client engagements, including fraud pattern analysis, risk detection strategy development, platform configuration, and machine learning model optimization.

These projects may support customers in both pre-sales and post-sales phases. You will work cross-functionally with Customer Success, Solutions Consulting, ML Modeling, Delivery, Product, and Engineering teams to help customers improve fraud prevention outcomes, drive operational efficiency, and deliver measurable business impact.

Key Responsibilities

Business Problem Discovery

  • 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

Data Gathering and Integration

  • 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

Data Analysis and Risk Strategy Development

  • 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

Solution Configuration

  • 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

ML Model Performance Analysis

  • 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

Project Management and Documentation

  • 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

Presentation and Demonstration

  • Present project findings, recommendations, and solution outcomes to business and technical stakeholders
  • Demonstrate configured solutions and articulate business impact clearly and effectively

Requirements

  • Experience
    • 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
  • Technical Skills
    • 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
  • Soft Skills
    • 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
  • Education
    • 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)

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Education

Bachelor degree

Experience

4 years minimum

Location requirements

Hiring timezones

United States +/- 0 hours

About DataVisor

Learn more about DataVisor and their company culture.

View company profile

DataVisor is a global leader in AI-powered fraud and risk management. Founded in 2013, the company provides an end-to-end Software-as-a-Service (SaaS) platform that leverages advanced artificial intelligence and machine learning capabilities to protect large consumer-facing enterprises and financial institutions from a wide array of digital threats. These threats include fraudulent transactions, spam, fake reviews, promotion abuse, fake application installs, identity theft, and money laundering. DataVisor's mission is to build and restore trust online by enabling organizations to proactively combat evolving fraud patterns in real-time.

The company's platform is distinguished by its patented unsupervised machine learning (UML) technology. This approach allows the system to identify new and unknown malicious actors and coordinated fraud rings without relying on historical labels or training data, which is crucial for staying ahead of sophisticated and rapidly changing attack vectors. DataVisor's solutions are designed to be data-agnostic, capable of ingesting and analyzing vast amounts of data from various sources to provide a holistic view of risk. The platform offers comprehensive capabilities including data orchestration, real-time feature computation, a flexible decision engine, and powerful case management tools. It is built to scale, handling high transaction volumes with low latency, making it suitable for some of the world's largest organizations. DataVisor serves a diverse range of industries, including financial services, banking, credit unions, fintech, e-commerce, social platforms, and digital payments, helping them to reduce fraud losses, improve operational efficiency, minimize customer friction, and ensure regulatory compliance.

Claim this profileDataVisor logoDA

DataVisor

Company size

51-200 employees

Founded in

2013

Chief executive officer

Yinglian Xie, Fang Yu

Employees live in

View company profile

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