Model Validation Specialist – AML Transaction Monitoring

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚨 AML and Financial Crime

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Matrix Global

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

💼 Consulting

🍽️ Food & Beverage

Logistics • Consulting • Food & Beverage

Matrix Global is a company that revolutionizes the way the oil and gas industry transacts by providing a sophisticated auction platform for storage and pipeline capacities. Their proprietary MAP platform enhances transparency and competition within the midstream sector, allowing businesses to optimize storage transactions and manage risks effectively through both short-term and long-term contracts. By collaborating with industry leaders, Matrix Global offers strategic opportunities for storage providers and energy companies, fostering a dynamic marketplace for oil and gas transactions.

📋 Description

• Perform independent validation of AML and Financial Crime models • Conduct threshold tuning and optimization of AML transaction monitoring scenarios • Evaluate model methodologies, assumptions, data quality, and performance metrics • Develop validation documentation, including validation reports, model assessments, playbooks, and runbooks • Analyze large datasets to identify trends, anomalies, and model enhancement opportunities • Assess risks associated with model design, implementation, and ongoing monitoring processes • Provide recommendations for model improvements, process optimization, and risk mitigation • Collaborate with Compliance, Financial Crime, Technology, and Business teams on model governance initiatives • Monitor regulatory developments and industry trends related to AML, BSA, sanctions screening, and financial crime analytics • Present findings, recommendations, and validation outcomes to stakeholders and senior management • Support implementation and validation of new detection scenarios, models, and monitoring strategies • Leverage data analytics and statistical techniques to evaluate model performance and suspicious activity detection capabilities • Deliver regulatory-compliant assessments and strengthen financial crime detection capabilities

🎯 Requirements

• Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Economics, Finance, Computer Science, or a related field • 5-8 years of experience in AML Model Validation, Model Risk Management, Financial Crime Analytics, or Transaction Monitoring • Strong understanding of AML regulations and compliance frameworks, including BSA, AML Directives, and related regulatory requirements • Proven expertise in AML Transaction Monitoring threshold tuning and optimization • Hands-on experience validating financial crime models and assessing model performance • Strong knowledge of model governance, validation methodologies, and model risk management principles • Experience developing validation reports, model documentation, playbooks, and operational runbooks • Strong analytical, quantitative, and statistical problem-solving skills • Advanced SQL skills and experience working with large datasets • Proficiency in Python and/or R for data analysis and model validation activities • Experience performing data mining, exploratory data analysis, and statistical assessments • Excellent verbal and written communication skills with the ability to present complex findings to technical and non-technical audiences • Strong presentation and stakeholder management skills • Solid understanding of banking products, services, and financial crime risks across business lines

🏖️ Benefits

• Competitive compensation and benefits • Meaningful career development opportunities • Diverse, inclusive culture • Challenging and engaging work environment • Continuous learning and growth opportunities