Join a leading global firm dedicated to building a better working world through assurance, tax, transaction, and advisory services. We foster a culture of continuous learning, offering extensive training and development opportunities to help you achieve your full professional potential. Our environment encourages creativity and provides the freedom to build your own career path, ensuring motivating and fulfilling experiences.

This Managerial role within Financial Services Risk Management (FSRM) in Mumbai focuses on transforming businesses through people, technology, and innovation. We tackle complex strategic problems for clients in banking, insurance, and wealth management, driving long-term value. Our team comprises business strategists, technologists, and industry leaders who bring fresh perspectives and sector knowledge to address the challenges of regulatory change, digital transformation, and increased demands for trust and transparency.

Contribute to client engagements by applying risk consulting concepts within the Financial Services domain. Develop analytical solutions and automate processes using Python, focusing on risk-related data processing. Leverage AI-enabled approaches to enhance risk analytics, improve decision support, and optimize process efficiency. Utilize cloud platforms to build scalable and secure risk technology solutions. Apply data engineering principles for data preparation and advanced risk analysis.

Responsibilities also include collaborating across client departments while adhering to commercial and legal requirements, employing a practical approach to solve complex issues, and delivering insightful solutions. Agility, curiosity, mindfulness, and creativity are key attributes for success in this role.

To be considered for this opportunity, you must possess a Bachelor of Technology in Computer Science and a minimum of 4 years of experience in Full Stack Development. Strong experience in Financial Services Risk Management (FSRM) is essential, along with hands-on proficiency in Python for building analytical solutions and automation. A practical understanding of AI-enabled approaches for risk analytics and decision support is required.

Working knowledge of cloud platforms for scalable risk technology solutions and exposure to data engineering concepts are also necessary. We seek individuals with the ability to collaborate effectively, solve complex problems with practical solutions, and maintain a positive, adaptable, and creative approach. Demonstrated ability to work in a client-facing role within the Financial Services industry is crucial.