Job
Description
You will be responsible for end-to-end delivery of control testing automation tools, overseeing the entire Control Testing Automation life cycle from requirement management to implementation. Your primary duty will be to develop scalable automation solutions that can be re-purposed. Additionally, you will lead a team of SMEs including Designers, Developers, Testers, Solution Leads, and Production Support staff. Your role will involve developing and implementing data analytics strategies to support business objectives and drive decision-making processes. You will conduct in-depth analysis of complex datasets to identify trends, patterns, and optimization opportunities. Based on data-driven insights, you will provide strategic recommendations to support business planning and resource allocation. It is essential to stay updated on industry trends and emerging technologies in data analytics to continually enhance processes and methodologies. You will liaise with Business, R&C teams, Operations, and Technology stakeholders to identify Control Testing Automation opportunities. Additionally, you will lead efforts to review ARCM documents proactively to identify automation opportunities. Critically assessing new tools and AI solutions to align with organizational goals and technical landscape will also be a part of your responsibilities. Your analytical and project management skills will be crucial for formulating analytical methodology, identifying inconsistencies, anomalies, and patterns within data. You should be adept at transforming data sets, performing quantitative and qualitative analysis, and generating actionable business insights. Proficiency in data manipulation and problem-solving with large datasets to derive actionable conclusions is required. You will champion and execute controls testing automation strategic plans, provide thought leadership ideas for the target state, and demonstrate proficiency in project management principles and stakeholder management. Your expertise in automation tools and technologies, such as SAS, SQL, Python, and RDBMS concepts, will be essential for solving complex problems. Hands-on experience in process automation tools like Appian, Xceptor, and Tableau is also necessary. Proficiency in MS Excel, PowerPoint, and VBA is expected, while experience with workflow management tools like Jira, Confluence, and Bit Bucket would be an added advantage. Having a good understanding of banking products, MCA, inherent risk, business risk, controls, compliance, and data management is crucial. Knowledge of finance regulations and an understanding of the audit process are also valuable. Soft skills like proven leadership ability, excellent communication, mentoring skills, and the ability to convey technical concepts to non-technical stakeholders are necessary. You should be able to manage resources effectively, share best practices, mentor junior team members, thrive in a dynamic environment, and contribute to organizational initiatives. A proactive approach to problem-solving, attention to detail, and a strong team player mentality are essential attributes. Basic qualifications include a Master's degree in Information Technology, Information Systems, Computer Applications, or Engineering from a premier institute. A BTech/ B.E/MCA in Information Technology, Information Systems, or Computer Applications is also acceptable. Postgraduate qualifications in computers would be preferred. You should have at least 13 years of hands-on experience in developing codes in a SAS, SQL, Python environment.,
