Top Operations Jobs

The Tech Risk and Controls Director will develop and implement risk management strategies for the firm, ensuring compliance with regulatory standards. This role involves managing technology risks, liaising with stakeholders, and leading large teams to drive strategic projects. The director will provide insights into risk management effectiveness to senior leaders and support the firm’s technological resilience.

As a Retail Investments Lawyer, you will manage litigation matters, provide legal counsel on retail investment products, draft related documentation, and advise on UK laws and regulations. You will also engage with outside counsel, oversee document execution, and contribute to regulatory change management.

As the Compliance Risk Management Lead, you will enhance compliance programs and provide guidance on regulatory matters within J.P. Morgan Wealth Management. Responsibilities include collaborating with various departments, assessing compliance metrics, leading projects, and ensuring adherence to regulatory expectations.

As a Corporate Strategy Vice President, you will lead strategic initiatives, develop partnerships with senior leadership, analyze data, create business plans, and manage critical projects aimed at identifying growth opportunities and market entry strategies.

The Asset Management Investment Risk - Alternatives Vice President will monitor and report on investment risks, conduct stress analyses, manage thresholds, and ensure compliance with risk management processes while leading risk oversight procedures and partnering with stakeholders to promote change.

As the Business & Operations Lead in the CTPO team, you'll manage supplier risk by developing tactics, organizing information strategically, driving consistent reporting routines, and facilitating communication while providing updates for management and key forums. You'll also assess and manage issues with appropriate escalation.

The AI Governance & Integration Lead is responsible for overseeing the integration of AI models into production, ensuring scalability and reliability while adhering to Risk Management & Compliance standards. This includes collaboration with data scientists and software engineers, managing AI model deployments, advocating for training on AI governance, creating governance frameworks, and providing reporting for stakeholders.