AI Controls Manager Associate

Next Frontier Capital; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

JPMorganChase is seeking a Data & AI Control Manager – Associate in Bengaluru to lead strategic control testing for Client Onboarding & Documentation. You will design data‑driven tests, apply ML/GenAI to detect risks, and build scalable analytics pipelines across WKO and DDS globally.

You will partner with business, operations, and technology teams to close control gaps, automate testing, and deliver auditable evidence and reporting.

Qualifications

• Bachelor’s or advanced degree in a quantitative field such as Computer Science, Statistics, Engineering, or Data Science.
• 6+ years of experience in financial services risk management, compliance, financial crimes, operational risk, audit, or BPM with automation exposure.
• Proficiency in Python or R for data manipulation, model development, and testing automation on large datasets.
• Apply modern ML techniques including regression, classification, clustering, and dimensionality reduction.
• Integrate data sources using APIs and apply strong data engineering practices to support repeatable testing.
• Implement data governance including data quality controls, metadata, lineage, and secure usage standards.
• Partner effectively across business, operations, and technology to deliver measurable control outcomes.

Responsibilities

• Lead strategic control testing engagements using analytics to surface control gaps and BAU breaks; drive remediation.
• Execute strategic testing as an individual contributor with disciplined methods and clear evidence standards.
• Build and productionize AI/ML solutions for classification, anomaly detection, risk scoring, and entity resolution.
• Apply GenAI workflows to improve evidence gathering, document understanding, and root-cause analysis.
• Automate end-to-end testing and controls using Alteryx, Power BI/Tableau, and workflow/RPA platforms.
• Operationalize proactive alerts and dashboards for KRIs and regulatory priorities across regions.
• Partner with WKO, DDS, Controls, Operations, Technology, and Data teams to calibrate models.
• Design auditable analytical outputs aligned to firm standards and regulatory expectations.
• Develop statistical tests and ML-based monitors for policy, legal, and regulatory compliance.
• Build scalable data pipelines to ingest, profile, cleanse, and join datasets from systems of record.
• Translate KYC/CO&D requirements into measurable tests and data rules; tune models to reduce false positives.

Skills

Python

R

Data manipulation

ML techniques

Regulatory compliance

Control testing

Analytical reasoning

Education

Bachelor's or advanced degree in quantitative field

Tools

APIs

Power BI/Tableau

Job description

Join Operations Control Management and help scale a best-in-class Client Onboarding & Documentation experience with strong compliance and ethics. Build hands-on analytics, automation, and AI solutions that strengthen controls across WKO and DDS globally. Grow your career by delivering measurable risk reduction, smarter monitoring, and executive-ready insights.

As a Data & AI Control Manager – Associate within the Strategic Control Testing group in Operations Control Management, you design and execute strategic, data-driven control testing across Client Onboarding & Documentation, including WKO and DDS. You build automation at scale and apply AI/ML—including Generative AI—to enhance risk detection, continuous monitoring, and regulatory compliance. You partner across business, operations, and technology teams to close control gaps, reduce false positives, and deliver audit-ready evidence and reporting.

Job Responsibilities

• Lead strategic control testing engagements using analytics to surface control gaps and BAU breaks; drive sustainable remediation.
• Execute strategic testing as an individual contributor with disciplined methods and clear evidence standards.
• Build and productionize AI/ML solutions for classification, anomaly detection, risk scoring, and entity resolution.
• Apply GenAI workflows to improve evidence gathering, document understanding, and root-cause analysis.
• Automate end-to-end testing and controls using Alteryx, Power BI/Tableau, and workflow/RPA platforms.
• Operationalize proactive alerts and dashboards for KRIs and regulatory priorities across regions.
• Partner with WKO, DDS, Controls, Operations, Technology, and Data teams to gather requirements and calibrate models.
• Design explainable and auditable analytical outputs aligned to firm standards and regulatory expectations.
• Develop statistical tests and ML-based monitors for policy, legal, and regulatory compliance aligned to model risk governance.
• Build scalable data pipelines to ingest, profile, cleanse, and join datasets from systems of record.
• Translate KYC/CO&D requirements into measurable tests and data rules; tune models to reduce false positives and document assumptions.

Required Qualifications, Capabilities, and Skills

• Hold a bachelor’s or advanced degree in a quantitative field such as Computer Science, Statistics, Engineering, or Data Science.
• Bring 6+ years of experience in financial services risk management, compliance, financial crimes, operational risk, audit, or BPM with automation exposure.
• Demonstrate proficiency in Python or R for data manipulation, model development, and testing automation on large datasets.
• Apply modern ML and advanced analytics techniques including regression, classification, clustering, and dimensionality reduction.
• Integrate data sources using APIs and apply strong data engineering practices to support repeatable testing.
• Implement data governance principles including data quality controls, metadata, lineage, and secure usage standards.
• Partner effectively across business, operations, and technology to deliver measurable control outcomes with strong critical thinking.

Preferred Qualifications, Capabilities, and Skills

• Leverage experience with LLMs/GenAI, predictive modeling, and their limitations in regulated environments.
• Apply control testing knowledge including control design and root-cause analysis capability.
• Manage multiple automation initiatives concurrently across global teams and time zones.
• Communicate trends and systemic issues through high-quality executive summaries and governance updates.
• Implement monitoring for model drift, accuracy, and business KPIs with clear evaluation frameworks.
• Use explainability and auditability patterns to support regulatory and internal audit reviews.
• Strengthen efficiency and consistency by delivering reusable assets, templates, and standardized testing routines.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Design data-driven control testing and GenAI automation for KYC/CO&D to improve risk detection, monitoring, and compliance.