Key Responsibilities
- Develop and maintain AML/CFT applications, including:
- Transaction monitoring systems
- Name screening and sanctions screening tools
- Case management and investigation modules
- KYC (Know Your Customer) and customer risk scoring platforms
- Integrate AML/CFT systems with core banking or financial platforms via APIs and data pipelines.
- Work closely with compliance and data science teams to implement detection models, risk rules, and regulatory reporting.
- Ensure software adheres to regulatory standards such as FATF recommendations, local FIU (Financial Intelligence Unit) requirements, and data privacy laws.
- Optimize system performance and data processing for large-scale financial transactions.
- Develop automated testing, deployment pipelines, and monitoring tools.
- Participate in code reviews, technical documentation, and knowledge sharing.
- Stay updated on emerging AML/CFT technologies and regulatory changes.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field.
- 3+ years of experience in software development, preferably in financial services or compliance technology.
- Strong programming skills in Python, Java, or C#.
- Experience with databases (SQL, PostgreSQL, MongoDB) and ETL/data pipelines.
- Knowledge of API design, microservices, and cloud environments (AWS/Azure/GCP).
- Understanding of financial crime compliance frameworks, including AML, CFT, and KYC principles.
- Familiarity with tools such as Actimize, SAS AML, Oracle Mantas, or FircoSoft is a plus.
Preferred Skills
- Experience with machine learning or rule-based detection engines for suspicious activity.
- Knowledge of graph analytics or network analysis for identifying suspicious relationships.
- Exposure to big data technologies (Hadoop, Spark, Kafka).
- Strong problem-solving and analytical skills.
Job Type: Full-time
Pay: Rs45,000.00 - Rs60,000.00 per month
Work Location: Remote