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PwC brand and Bangalore metro boost competition; seniority and niche FS specialization moderate applicant density.
Financial-risk focus increases industry specificity, though data engineering and ML skills remain transferable.
Director-level role with explicit 8+ years and domain expertise enforces strict hiring filters.
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Lead design and implementation of advanced data analytics and AI solutions to drive strategic decisions in financial risk management.
Oversee complex data pipeline integration, data warehousing, and ensure data quality for insightful business outcomes.
Set strategic direction, manage multiple projects, lead client engagements at executive level, and mentor teams in data science methodologies.
Bachelor's degree required.
Minimum 8 years of professional experience.
Proficiency in English (oral and written) is mandatory.
Not explicitly mentioned in the JD: Specific notice period or location constraints.
Background preferably in Accounting, Engineering, Data Science/Analytics, Computer/Information Science, Economics, or Finance.
Certified in at least one of databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML tools (Python, SAS).
Experienced in leading strategic financial risk initiatives with strong capabilities in machine learning, predictive analytics, and mentoring data engineering teams.