Sr. Business Analytics or Intelligence Developer
Location: Pune / Bangalore
Exp: 10 to 15 Years
Candidate will play a critical role mitigate NFR in Wholesale and protect the
integrity of commercial banking operations. You will collaborate closely with
cross-functional teams, including risk management, compliance, technology, and
business units to provide actionable insights and actions to drive effective
risk prevention strategies. This is an exciting opportunity to contribute to a
high-impact project and make a meaningful difference in the fight against
financial crimes.
Responsibilities:
Work closely with data science team to conduct comprehensive analysis of
NFR data and transactions to identify potential patterns, trends, and anomalies.
Collaborate with stakeholders to gather requirements, define project
objectives, and develop strategies to address Wholesale NFR.
Utilize advanced data analysis techniques to identify potential
vulnerabilities and recommend enhancements to existingrisk management
frameworks.
Work closely with IT teams to ensure seamless integration of risk
mitigation measures into existing systems and processes.
Prepare detailed reports and presentations to communicate findings,
insights, and recommendations to senior management and relevant stakeholders.
Stay informed about industry best practices, regulatory requirements, and
emerging trends inmule risk management to continuously improve our strategies
and processes.
Act as SME on NFR management, providing guidance and support to internal
teams as needed.
Collaborate with internal audit and compliance teams to ensure adherence to
regulatory guidelines and internal policies.Qualifications:
Bachelors degree in Business, Finance, Economics, or a related field.
Proven experience as a Business Analyst within the financial services
industry. Experience on consulting and/or risk management is an advantage.
Strong understanding of commercial banking operations and the associated
risks, particularly related to mule risk.
Proficient in data analysis tools and techniques, with experience in
advanced analytics and visualization tools (e.g., SQL, Python, Tableau).
Strong communication and presentation skills, with the ability to
effectively convey technical information to both technical and non-technical
stakeholders.
Detail-oriented mindset with a strong commitment to accuracy and quality.
Ability to work independently and collaboratively within a cross-functional
team environment.Knowledge of relevant regulatory requirements and industry
best practices infinancial crime prevention is highly desirable.