Control Manager Associate

Há 1 mês

São Paulo, Brasil J.P. Morgan Tempo inteiro

The primary objective of the Strategic Control Testing group is to automate and transform using digital transformation tools, build machine learning models, and apply statistical techniques for effective risk management practices.

As Control Manager Associate within the Client Onboarding & Documentation (CO&D) team, you will be responsible for identifying and monitoring significant risks, ensuring compliance with operational policies, control procedures, and legal/regulatory requirements through data-driven testing and automation. You will drive effective strategic control testing techniques utilizing data and execute testing engagements of strategic importance to CO&D. Additionally, you will provide management with sufficient information to identify potential control gaps, Business as Usual (BAU) operational breaks in CO&D, and monitor key operational risks and regulatory activities/concerns. You will collaborate with colleagues across the CO&D controls team, other Data Analytics teams, lines of business, Corporate Functions, and Technology to develop advanced automation solutions to identify errors/issues proactively.

Job Responsibilities:

  • Work as an Individual Contributor to perform strategic testing activities.
  • Perform proactive reviews as identified through regulatory/audit reviews, raised by business partners.
  • Support all aspects of the Data Analytics Testing in order to help testing of policies, laws, regulations, and guidelines related to JPMorgan Chase's LOBs and Corporate Functions.
  • Deliver concrete analytical solutions to existing/new business problems using a combination of business understanding as well as machine learning/AI tools and techniques.
  • Identify and deliver innovative solutions, with a focus on opportunities that drive department efficiency, effectiveness, and consistency.
  • Work closely with Business, Operations, Control Managers, 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).
  • Manage relationships and communication with key stakeholders, and provide timely and relevant information through appropriate reporting mechanisms backed with data.
  • Stay abreast of new tools and Machine Learning, AI technologies to assist in creating the most efficient and effective solutions.
  • Determine and share ideas on automation opportunities and actively contribute to the continuous learning mindset of the organization by bringing in new ideas.

Required qualifications, capabilities, and skills:

  • Bachelor or advanced degree.
  • 5 or more years of experience in risk management and financial services industry; domains could include compliance, financial crimes, operational risk, audit, credit risk, market risk, business process management with many years of experience in Automation and Model building.
  • Risk management, Operations, or Internal control evaluation experience.
  • Ability to work with large volumes of data efficiently and analyze large sets of data to accurately identify trends, patterns, and problems.
  • Strong technical background and ability to manage and manipulate data extracted from systems of record to conduct testing.
  • Strong understanding of data profiling and data cleansing techniques.
  • Experience in working with Software and programming languages such as SAS, R, or Python. Understanding of new age technologies like Large Language Models (LLM).
  • Good knowledge of Automation and reporting tools like Alteryx, Power BI, Tableau, UI Path, Pega, and Microsoft Applications.
  • Effective executive summarization of complex business problems and solutions.
  • Strong practical knowledge of analytical techniques and methodologies such as machine learning, AI.

Preferred qualifications, skills, and capabilities:

  • Hands-on/extensive control testing experience will be an advantage.
  • Good knowledge of control design and root cause analysis.
  • Strong analytical, critical thinking, and problem-solving skills.
  • 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 the AI and Machine learning team).
  • Ability to effectively multi-task – work on 2-3 automation requests concurrently.
  • Ability to work with a team based at multiple locations and have flexibility regarding working hours.
  • A strong interest in further developing and integrating operations with technology.
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