Technical Consultant AML And Fraud Detection

Introduction

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and enterprise IT. Since its founding in 2017, SymphonyAI has grown to serve 2,000+ enterprise customers globally with 2,500 talented professionals across over 30 countries.

Job Description

We are seeking a detail-oriented and technically skilled Technical Consultant specialized in building and configuring detection rules for compliance purposes. You will work closely with compliance, risk, and IT teams to design, implement, and optimize rule-based monitoring solutions that support regulatory requirements such as AML, fraud monitoring, sanctions screening, and payment screening. Your expertise will help clients mitigate risk, detect suspicious activity, and ensure ongoing regulatory compliance using sophisticated rules engines and analytics platforms. This role requires adaptability, strong communication skills, and the ability to balance multiple client engagements

Key Responsibilities

• Collaborate with clients and internal teams to on-board them in our FinTech platform seamlessly and within the agreed schedule.
• Collaborate with business stakeholders and compliance teams to gather requirements for rule-based monitoring and detection.
• Translate regulatory requirements and compliance standards into effective detection logic and rule sets.
• Optimize rule accuracy and efficiency through regular tuning, testing, and validation, minimizing false positives and negatives.
• Monitor system performance, conduct impact analysis, and make recommendations for rule enhancements based on business feedback and regulatory changes.
• Work with automation tools (GitHub, YAML, Helm) to package, deploy, and configure applications in Kubernetes (basic to intermediate knowledge).
• Create and maintain shell scripts and SQL queries to support integration, troubleshooting, and reporting.
• Develop and review XML / JSON based configurations and data exchange schemas.
• Participate in technical meetings with clients, discussing SAML, SSO, REST APIs, Architecture Design, and basic networking considerations.
• Work with solution architects to translate functional needs into technical, architectural, and data specifications, factoring in AI components where relevant.
• Advocate and implement best practices for version control, CI/CD pipelines, and deployment patterns.
• Research emerging technologies and proactively identify areas for improvement.
• Provide ongoing support, troubleshooting, and documentation for deployed solutions.
• Deploy AI/ML models as part of compliance solutions, including model endpoints and integration with existing infrastructure.
• Assist with data preparation, validation, and feature engineering for AI applications, ensuring high-quality inputs for model performance.
• Educate and train clients on how to interpret and leverage AI-powered features and outputs.
• Troubleshoot and monitor deployed AI solutions, identifying issues such as data drift, model degradation, or unexpected output, and escalate where necessary.
  
  

Must-Have Skills & Experience

• Hands-on experience using GitHub for version control.
• Hands-on experience with major compliance and rule management platforms
• Strong understanding of regulatory frameworks (e.g., AML, KYC, FATCA, OFAC, GDPR, PCI DSS) and compliance processes.
• Familiarity with statistical and machine learning approaches to augment rule-based detection is a plus.
• Familiarity with YAML syntax and Helm charts for application configuration and deployment.
• Working knowledge of Kubernetes (no deep expertise required, but willingness to learn).
• Experience writing shell scripts (e.g., Bash) for automation and troubleshooting.
• Proficiency with SQL for data manipulation, reporting, and basic performance tuning.
• Solid understanding of XML, JSON -based configurations and integrations.
• Basic knowledge of SAML, SSO, and similar authentication and security protocols.
• Familiarity with REST APIs and GraphQL API and how they fit into broader integration strategies.
• General understanding of networking fundamentals.
• Excellent communication skills for client-facing interactions and the ability to explain complex concepts into clear, actionable guidance.
• Demonstrated ability to manage multiple projects and adapt to shifting priorities.
• Basic understanding of machine learning concepts and model deployment practices.
• Ability to monitor AI solution performance and assist with troubleshooting and optimization.
  
  

Nice-to-Have Experience

• Experience with financial crime, AML, KYC, or fraud detection solutions.
• Coding experience in one of the main modern languages: python, java, etc…
• Understanding of DevOps, CI/CD, and cloud automation best practices.
• Certification with any of the major cloud providers: GCP, AWS, Azure.
• Strong Linux/Unix skills (RHEL, CentOS, Solaris) and Python scripting for data and automation tasks.
• Prior exposure to financial services, preferably in financial crime or compliance domains.
• Understanding of AI model governance concepts such as explainability, auditability, and data privacy in production deployments.
  
  

About Us

SymphonyAI Financial Services is a global leader in financial crime and compliance solutions. We are seeking a forward-thinking Technical Consultant with expertise in modern cloud and container technologies to support our growing customer base in APAC. This role is key to delivering successful implementations, integrations, upgrades, and technical support of our advanced AI-driven financial crime platform.

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