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Senior QA Analyst - AML & FinCrime

4 - 8 years

0 Lacs

pune maharashtra

Posted:2 weeks ago| Platform: Shine logo

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Skills Required

data analytics aml programming languages sql r python power bi communication skills fincrime testing financial crime systems detectiontransaction monitoring screening case management amlctf sanctions systems controls data infrastructure design development databricks machine learning techniques

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior QA Analyst at our organization, you will play a crucial role in test planning and execution for one of our banking customers. Collaborating with cross-functional teams, including developers, testers, and project managers, you will provide financial crime data and analytics insights to identify, manage, and mitigate financial crime risk. Your responsibilities will involve supporting the development, implementation, and enhancement of Financial Crime Risk detection systems, contributing to process and system documentation, and assisting with financial crime projects following regulatory changes. You will be tasked with producing data analytics deliverables related to Financial Crime Risk, participating in the design of technical data mapping, and contributing to data governance processes and procedures. Collaboration with various teams to investigate financial crime prevention methods and liaising with operational and technology functions across the organization will be essential. Adhering to regulatory obligations and internal policies/procedures, staying updated on new technologies in data analytics, and being aware of emerging AML/CTF trends are also part of the role. The ideal candidate for this position will possess a strong foundation in data analytics, a proactive problem-solving approach, and a keen interest in financial crime. You should have at least 8 years of overall experience with a minimum of 4 years in AML and Financial Crime testing. A Bachelor's or Master's degree in Data Science, Finance, Computer Science, or a related field is required. Proficiency in programming languages and data analytics tools such as SQL, R, Python, and Power BI is necessary, with SQL skills being preferred. Excellent communication skills, both verbal and written, are essential, along with the ability to work independently or in a team environment. Desirable attributes include additional training/qualifications in Data Science and Financial Crime Risk, experience working with Financial Crime systems, knowledge of machine learning techniques, and proficiency in data analytics tools like Python, R, and Databricks. Experience in overseeing and implementing AML/CTF or Sanctions systems and controls, as well as data infrastructure design and development, will be advantageous. Australian Banking experience, expertise in Lending, Test Automation, and proficiency in languages and seniority are considered beneficial for this role.,

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