Bulge Bracket Investment Banks

Posted 12 days ago

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**Control Manager Associate** Shift control management for client onboarding and documentation operations in Bengaluru. Lead data-driven reviews and AI risk assessments to fortify firm and client protection while enabling innovation. Collaborate cross-functionally to drive measurable impact. **Responsibilities:** - Lead data-driven control reviews, monitor risks, and ensure policy adherence. - Conduct proactive risk assessments and root-cause analyses for AI-related issues. - Partner with teams across compliance, legal, and data to implement governance frameworks. - Automate control testing and leverage analytics tools for scalable assessments. - Influence stakeholders to improve controls and drive impact beyond reporting lines. **Required Skills & Experience:** - Proven experience in control, operational risk, audit, or compliance functions. - Expertise in data-driven testing and risk assessments for AI use cases. - Strong analytical, problem-solving, and cross-functional partnership skills. - Ability to operate effectively in deadline-driven environments with strong control discipline.

Compensation: Not specified
City: Bengaluru
Country: India

Full Job Description

Location: Bengaluru, Karnataka, India

Join Client Onboarding & Documentation Operations Control Management and help build a resilient, AI-ready control environment. Lead data-driven reviews and AI risk assessments that protect the firm and clients while enabling responsible innovation. Grow your career in a collaborative culture that values partnership, thoughtful challenge, and measurable impact.

As a Client Onboarding and Documentation Operations Control Management Associate, you drive the controls agenda by identifying, assessing, and monitoring key risks while ensuring adherence to policies, control standards, and legal/regulatory requirements. You evaluate and enhance the control framework for AI use cases, lead data-driven control reviews, and perform proactive assessments. You deliver clear, actionable recommendations and partner across functions to strengthen the overall control environment.

Job Responsibilities

Lead control reviews using analytics and data-driven testing to strengthen the control environment and improve efficiency.

Perform proactive monitoring and testing to identify emerging risks and support timely issue resolution.

Conduct root-cause analysis for control issues, including technology and AI-related issues.

Partner on corrective actions and sustainable remediation with clear ownership and timelines.

Automate control testing where appropriate to reduce manual effort and improve consistency and traceability.

Execute risk and control assessments for AI solutions covering design, data quality, bias, and explainability.

Assess AI security, accuracy, and potential failure modes to inform mitigation and monitoring.

Partner with compliance, legal, audit, data, oversight, and onboarding teams to implement governance frameworks.

Implement policies and control standards aligned to firmwide expectations and regulatory requirements.

Incorporate evolving AML/KYC and AI risks, regulatory expectations, and best practices into the controls agenda.

Influence and drive control improvements across teams beyond direct reporting lines.

Required Qualifications, Capabilities, and Skills

Demonstrate experience in controls, operational risk, audit, compliance, or related functions.

Apply data-driven testing and analytics to strengthen control reviews and outcomes.

Execute risk and control assessments for AI use cases, including bias, explainability, and failure modes.

Conduct root-cause analysis and drive sustainable remediation with cross-functional partners.

Communicate clearly and deliver actionable recommendations to diverse stakeholders.

Partner effectively across compliance, legal, audit, data, oversight, and onboarding teams.

Operate effectively in a dynamic, deadline-driven environment with strong control discipline.

Preferred Qualifications, Capabilities, and Skills

Leverage knowledge of AML/KYC processes and evolving regulatory expectations.

Automate control testing to improve efficiency, consistency, and traceability.

Apply understanding of AI/ML governance, model risk, and responsible AI principles.

Strengthen monitoring by designing proactive tests and meaningful risk indicators.

Influence stakeholders beyond direct reporting lines to drive control improvements.

Utilize analytics tools to support scalable, repeatable control assessments.

Incorporate industry best practices to continuously enhance the controls agenda.

Drive CO&D controls agenda with data-driven testing and AI risk assessments, strengthening governance, monitoring, and remediation.

Full Job Description