Senior Risk Consultant

📋 Description

• Collaborate with clients to grasp their business logic, decision-making processes, pain points, fraud patterns, data availability, data quality, and desired outcomes.

• Convert business challenges into actionable requirements for risk and solutions.

• Facilitate technical discussions with clients’ risk, fraud, AML, and data teams to ensure thorough and high-quality data collection.

• Oversee data transfer coordination and validate data quality.

• Perform data analysis and fraud pattern analysis leveraging strong domain expertise and business insight.

• Develop, recommend, test, and refine detection strategies to enhance risk management outcomes.

• Set up DataVisor platform components, including Rules Engine, Decision Flows, Case Management, Knowledge Graph, and BI Dashboards.

• Provide customized solutions that deliver significant business value for clients.

• Collaborate with the ML Modeling team to design, fine-tune, and assess supervised and unsupervised fraud detection models.

• Evaluate model performance metrics and offer recommendations on threshold setting and decision-making strategies.

• Manage solution delivery projects using project management tools like Monday.com.

• Take responsibility for the creation, upkeep, and reporting of essential internal and client-facing project deliverables.

• Share project insights, recommendations, and solution results with both business and technical stakeholders.

• Showcase configured solutions and clearly articulate their business impact.

⛳️ Requirements

• A minimum of 4 years of experience in fraud and/or AML strategy, analytics, or modeling.

• At least 2 years of experience leading client-facing data analytics or consulting projects.

• Profound domain knowledge of fraud and AML use cases within the financial services sector.

• Advanced SQL proficiency, including complex joins and layered business logic.

• Familiarity with programming languages such as Python, R, and Java is advantageous.

• Experience utilizing LLM tools like ChatGPT and Claude to expedite research, problem-solving, and documentation.

• Proven track record in configuring technical products and troubleshooting feature, rule, and result behaviors.

• Excellent communication, presentation, and interpersonal abilities.

• Strong analytical, problem-solving, and results-driven mindset.

• Commitment to documentation discipline and enthusiasm for automation using AI tools and agents.

• Capability to work collaboratively in a fast-paced team environment while managing multiple projects concurrently.

• Bachelor's degree in a technical or analytical discipline such as Data Science, Statistics, Computer Science, or a related field.

🏝️ Benefits

• Stock options, medical insurance, 401K, and PTO.

• Reasons to join DataVisor:

• - Engage in high-impact projects that help safeguard businesses and consumers against fraud and financial crime.

• - Work alongside a talented and diverse team of experts in AI, machine learning, and data science.

• - Advance your career in a flexible and supportive working environment.

• - Enjoy a competitive compensation and benefits package.

• - Work remotely (preference for eastern time zone).