Jobs at Matrix Global Services

Develop machine learning and analytics solutions using large-scale datasets. Responsibilities include feature engineering, predictive modeling, workflow optimization, customer implementations, production deployments, stakeholder collaboration, technical training, and resolving data-related challenges. The role requires Python, PySpark, machine learning pipelines, MLflow or Airflow, statistical modeling, and strong communication skills, with preferred experience in fraud detection, risk analytics, compliance, cloud environments, and model monitoring.

Leads the development and execution of a global B2B marketing function focused on demand generation, pipeline growth, digital marketing, content, social media, partnerships, and brand awareness. Owns campaigns, ABM initiatives, marketing performance, budgets, reporting, and KPIs while collaborating with sales, product, customer success, and executives. This hands-on leader builds scalable programs, strategic alliances, and thought leadership initiatives that generate measurable revenue and market impact.

Deploys, customizes, integrates, and supports fraud risk scoring systems for financial institution clients. Responsibilities include software development, production deployment, troubleshooting, monitoring, system upgrades, Agile participation, and client-facing technical collaboration across cloud and on-premise environments.

Validate and optimize AML transaction monitoring and financial crime models. Responsibilities include threshold tuning, model performance assessment, data quality analysis, validation documentation, regulatory compliance, risk evaluation, and stakeholder reporting. The role collaborates with compliance, technology, data science, and business teams to improve detection effectiveness, reduce false positives, strengthen model governance, and support new monitoring scenarios.

Build and maintain scalable production data pipelines, machine learning data pipelines, and data transformation frameworks for financial crime detection solutions. Collaborate with product, R&D, data, analytics, customers, and partners; optimize large-scale data architectures; support feature engineering and root cause analysis; and train customer teams. The role requires customer-facing collaboration, English and Spanish fluency, and domestic and international travel when needed.

Develop and maintain enterprise BI solutions, dashboards, reports, data models, and ETL processes. Translate business requirements into scalable analytics solutions, define KPIs, analyze complex datasets, ensure data quality and governance, optimize performance, resolve reporting issues, establish BI standards, and mentor junior developers while partnering with technical and business stakeholders.

Analyze and tune sanctions, fraud, and AML models; evaluate performance, reduce false positives, develop features and datasets, automate analysis, troubleshoot data issues, and communicate findings to technical, compliance, regulatory, and senior management stakeholders.

Build, optimize, and support enterprise data pipelines, ETL/ELT workflows, semantic models, data warehouses, and business intelligence solutions. Responsibilities include production troubleshooting, performance tuning, dimensional modeling, data governance, documentation, stakeholder collaboration, mentoring junior team members, and contributing to data architecture modernization.

Leads commercial growth across business development, strategic partnerships, pricing, packaging, AI commercialization, and go-to-market strategy. Builds market-ready offerings, enables Sales, develops partnerships and new revenue channels, and identifies expansion opportunities across the U.S. multifamily and property management ecosystem. Owns pricing and commercial decisions, evaluates business cases, negotiates partnerships, and aligns Product, Sales, Growth, and executive leadership to drive revenue, adoption, deal size, and upsell performance.

Own the strategy, roadmap, and execution of payment products across cards, ACH, MoneyGram, lockbox, recurring, autopay, and online payments. Lead integrations with processors, banks, gateways, and fintech partners while improving acceptance, settlement, reconciliation, refunds, disputes, reliability, and customer experience. Translate payment and technical requirements into product documentation, guide Agile delivery, analyze transaction data, and coordinate cross-functional teams across Engineering, Finance, Operations, Compliance, and external partners.

Owns the strategy, roadmap, governance, and business outcomes for an enterprise fraud platform. The role prioritizes fraud controls, detection models, platform enhancements, and operational processes while ensuring regulatory compliance, resilience, and customer experience. Responsibilities include backlog and release management, UAT and operational readiness, stakeholder and vendor leadership, incident prioritization, platform performance optimization, and collaboration across Fraud Operations, Payments, Technology, Risk, and Compliance.

Leads requirements gathering and translates business needs into technical specifications, user stories, acceptance criteria, and process documentation. Documents end-to-end data flows, source-to-target mappings, integrations, APIs, interfaces, transformations, validations, dependencies, and exceptions. Collaborates with stakeholders, architects, developers, data teams, and QA throughout delivery, ensuring traceability and alignment between requirements, testing, and implementation. Capital Markets, trade lifecycle, and corporate lending experience are advantageous.

Lead concurrent software and data science projects across LATAM from initiation through delivery. Manage scope, budgets, timelines, resources, risks, and change processes while coordinating technical teams and clients. Lead demos, workshops, steering committees, Agile ceremonies, and stakeholder communications. Provide consultative guidance, align product solutions with client goals, and ensure measurable business value. Spanish fluency and willingness to travel up to 20% are required.

Drive new business across Europe by selling integration and SaaS solutions to enterprise and mid-market clients. Manage full sales cycle, deliver demos, negotiate and close deals, maintain CRM pipeline and forecasts, collaborate with marketing and technical teams, and represent the company at industry events.

Lead full-cycle recruiting for Data, ML, and Software Engineering roles. Source niche senior talent, perform technical screens, partner with engineering leaders, maintain ATS pipelines, and deliver hiring metrics and market intelligence.

Lead business analysis for complex financial crime, risk, and compliance transformation programs. Gather and translate regulatory and business requirements into BRDs/FSDs, user stories, process flows, and acceptance criteria. Support delivery planning, resource coordination, testing, implementation, and client stakeholder management across distributed teams.

Drive new business across assigned US territories by selling enterprise integration and AI-driven platform solutions. Manage full sales cycle from prospecting to closing, build C-level relationships, deliver revenue targets, collaborate with marketing and technical teams, run demos and proposals, maintain CRM pipeline, and represent the company at events.

Hunter-focused enterprise sales role responsible for new business acquisition (80%) and account expansion (20%) selling consulting and technology solutions for Financial Crime, AML, KYC, fraud prevention, risk analytics, data engineering, AI/ML, and cloud transformation. Own full sales cycle, build executive relationships, manage pipeline in CRM, collaborate with delivery and solutions teams, and consistently meet revenue targets while representing the company at industry events.

Work with client data to develop fraud-detection models: clean and preprocess data, engineer features, build and tune ML models, create scalable pipelines, collaborate with clients and internal teams, communicate results, and contribute technical leadership and product enhancements.

Drive new business and revenue growth across assigned European territories by selling the company's integration and automation platform. Manage full sales cycle, build C-level relationships, deliver demos and proposals, maintain CRM pipeline and forecasts, collaborate with marketing and technical teams, and represent the company at events.