(CCOR) Data Analytics / Transformation Compliance Monitoring and Testing

Job Description

Compliance, Conduct and Operational Risk (CCOR) plays a critical role in the successful execution of the firms Compliance, Conduct and Operational Risk mission. The CCOR function ensures the development and maintenance of a strong controls culture, by developing and maintaining a program infrastructure that identifies, measures, and monitors Compliance, Conduct and Operational Risk adherence. CCOR works closely with Business, Controls, Legal, Risk, Compliance and Audit functions to provide expertise on risk matters, assess and measure related risks, and monitor and test the adequacy of the firms control environment.The role of our 2nd Line of Defense CCOR organization is to support the company in maintaining the highest standards of ethical conduct and operational compliance with both the spirit and intent of the many policies, laws, rules, and regulations that govern the JP Morgan Chase Lines of Business (LOBs) and Corporate Functions.The Compliance, Conduct and Operational Risk (CCOR) Data Analytics Testing team is seeking a highly self-motivated individual that possesses analytical and investigative capabilities. This position will be located at the Hyderabad location of the Corporate Centers in India . The team will be covering all Lines of Business within JP Morgan Corporate and Investment Bank, Asset Wealth Management, Commercial Bank and Consumer Community Banking. The primary role of the CCOR M&T Data Analytics team is to transform/ automate using digital transformation tools, build machine learning models, apply statistical techniques for effective risk management practices. It shall extract relevant data from line of business systems of record to construct test populations, define testing approaches and design and document test procedures and attributes in order to perform an analysis of the results relative to the applicable policy, rules, laws and regulations governing the lines of business functions. This role will assist in enabling the transformation of CCOR M&T from a manual process based organization to one that will leverage various automated analytics tools and approaches to assess conformance with regulatory requirements impacting the LOBs and Corporate Functions. GENERAL LEVEL OF RESPONSIBILITY:
• Drives the delivery of programs and projects for the CCOR Data Analytics and Automation Services (DAAS), whose activities include the automation of CCOR Compliance Testing activities / driving deeper insight into CCOR testing results of the CCOR Testing and Monitoring team (CCOR M&T)
• Identify Analytical Solutions / Automation Solutions that deliver value: Deliver analytical solutions to existing/new business by leveraging analytical solutions with the use of tools like Python, Alteryx, Xceptor etc. The candidate will also be expected to introduce concepts like AI, ML and drive its adoption toward CCOR Test automation and gaining deeper insights into CCOR Testing activities.
• Program management and Delivery ownership
  • Engage with Stakeholders from across all Lines of Business to build and manage Book of Work
  • Manage the DAAS program with LOBs, which include defining engagement model, establishing governance cadence, drive issues / roadblocks to closure
  • Define and manage Project Plans and ensure adherence Daily Stand up meetings, manage book of work by LOB and individual analyst
  • Manage a team of 3-5 Automation Analysts in the delivery of projects
• Manage multiple projects that seek automation of testing models and building automated monitoring models: Partner with CCOR testers and the business to automate all testing activities and increase frequency to monitor compliance in close to real time . Identify opportunities to:
  • Automate the extraction of population data from the SORs
  • Digitize the testing activities (Automate all testing and increase frequency of monitoring)
• Maintain strong business relations: Establish and maintain a consistent dialog and relationship with Compliance testing peers and CCOR Leadership across LOBs
• Timely and accurate reporting: Provide timely and relevant information through appropriate reporting mechanisms (scorecards, dashboards, monthly management meetings). Design rich data visualizations to communicate complex ideas and automate reporting and controls.
• Support testing program governance and documentation : Engage with key stakeholders to support testing plans, testing methodologies, testing practices, program governance and related documentation requirements (procedures, SOPs etc.)
• Boundary less behavior : Execute special projects as assigned by CCOR management
• Identification and sharing of business best practices: Work closely with CCOR officers and other stakeholders across all LOBs and Functions to collaborate and share information arising from testing related activities and other testing related initiatives (e.g., trends, systemic issues, control weaknesses).
• Continuous improvement Mindset: Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.
• Support the existing automated Testing Activities:
• Build and Test Automation scripts that automate CCOR Compliance Testing activities in accordance with the firm s CCOR Monitoring & Testing procedures
• Develop and maintain program scripts to extract population data from the systems of records (SORs) to support testing activities
• Document Business Requirements and generate SOPs for handover of automation to the CCOR Testing team for use as BAU activity
• Update Test papers that look to document the data extraction, Automation and Analytics approach to extract data / Automate Compliance Testing activities / Drive deeper insights into Compliance Test results
• Drive the delivery of business insights to strengthen controls and compliance : Leverage basic data exploration techniques (Descriptive and prescriptive/predictive analytics) to support current testing routines that seek to measure compliance to the various laws, regulations and guidelines. Design, build, and execute data quality controls that ensure completeness and accuracy on risk datasets and reports
Requirements
• Post graduate program with Data Analytics and Automation from a leading institute / University
• Overall Experience 12 - 16 years in Automation and Analytics
• Proven track record of Program management / managing multiple project concurrently
• Proven track record that showcases the ability to create and manage strong stakeholder connects be able to engage and deliver a Win Win strategy
• Experience in managing delivery in an environment with diverse automation solutions like SAS / R / Python / Alteryx / Xceptor etc.
• Maintain the highest standards of confidentiality and professionalism when handling sensitive information
• Ability to develop and implement state of the art, fully scalable various machine learning models / algorithms for risk detection, classification, prediction to aid in continuous monitoring and testing activities. (In partnership with a the AI and Machine learning team)
• Excellent verbal and written communication skills Effective executive summarization of complex business problems and solutions
• Highly proficient with the use of MS Power point, MS Excel and MS Word
• Experience of working in an Audit / Testing / Compliance or risk management environment will be additionally preferred but not mandatory
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Keyskills :
3rd party relationshipsdata qualityproject plansdata analyticsrisk managementdata extractiontest automationtest proceduresmachine learningoperational riskspecial projects