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Strong employer brand but niche risk+AI specialization yields medium applicant density.
Requires credit/market/liquidity domain experience, limiting cross-industry transferability.
Explicit 9+ years plus mandatory domain and tech/ML stack requirements make screening stringent.
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Lead design and deployment of enterprise-wide analytic products utilizing structured and unstructured data.
Engage with business partners and technology teams to define product vision and implement scalable data analytical solutions in credit risk, market risk, liquidity, or capital domains.
Manage data pipelines, prioritize product development, coordinate deliveries, and act as product ambassador within user communities.
9+ years of experience designing and implementing scalable data analytical solutions in large-scale business environments.
Proficiency with Distributed File System ecosystem tools including Linux, Python, Spark, Hive, and modern data platforms like Databricks, NoSQL stores, plus AI/ML frameworks (e.g., NLP).
Domain experience in Credit Risk, Market Risk, Liquidity, or Capital.
Work Experience Required: 9+ years
Experienced in defining and executing data strategy for advanced analytics, including governance, sourcing, and ethical aspects within financial industries.
Skilled at communicating complex AI and advanced analytic concepts to non-technical stakeholders effectively.
Proven ability to manage multiple projects with project management skills for leading large cross-functional initiatives in fast-paced environments.