Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 4000+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.

We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

Tiger’s growing Banking Financial Services vertical seeks self-motivated AI/ML/Data Science professionals with domain expertise in the Banking and Financial Services space and strong technical skills for a challenging role in the Banking & Financial Services Analytics area.

· 6+ years of experience implementing data controls   across data lifecycle.

· Knowledge of Data controls, controls activation   process

· Knowledge of reconciliations, CDE, testing, defining   & building CDE rules.

· Ability to define & execute methodology for   identifying risk CDEs (including tiered standards of care and collibra).

· Ability to define required target state controls for   Risk Data Aggregation & Reporting Framework (RDAR).

· Ability to define required controls for interim risk   management & implement with CDOs & FDOs.

· Ability to activate required CDEs, i.e. iteratively   implementing CDE across production & aggregation layer.

· Implement consumption layer reporting controls.

· Knowledge of financial data domain (preferably   banking).

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