דרושים Principal Ai Cybersecurity Architect ב-גיי פי מורגן ב-United States, Chicago

Job summary:

As the Compliance Risk Management Lead in the Compliance team, you will be responsible for regulatory Compliance Coverage for JP Morgan India Pvt. Ltd.

Job responsibilities:

• Responsible for implementation of compliance framework for JPMIPL.
• Act as the Compliance Officer and Principal officer for JPMIPL.
• Responsible for regulatory guidance and advisory to the business/operations teams and other stakeholders regarding regulatory changes as well as existing regulations.
• Evaluate compliance with relevant regulations, including AML, KYC (impacting the regulatory licenses held by JPMIPL), monitor and identify issues or gaps.
• Provide updates to the board on regulatory developments
• Engage with SEBI, Exchanges and relevant regulatory authorities for exam/ inspection and other RFIs as well as for regulatory clarifications.
• Participate in various advocacy initiatives with SEBI and exchanges.
• Handle the escalation of alerts from Trade surveillance team as well as alerts from exchanges.
• Review policies pertaining to JPMIPL based on regulatory changes / requirements.
• Work with various regional teams and provide them with necessary updates regarding local regulations.
• Represent compliance on various legal entity governance forums

Required qualifications, capabilities, and skills:

• Bachelor’s Degree in Finance, Economics, Statistical Mathematics, Data Science or equivalent/related disciplines
• 10 plus years of experience in the Financial Services Industry with a demonstrated track-record experience and knowledge of Broking and Investment Banking compliance, including proficient understanding of India AML/CFT regulations and requirements

Preferred qualifications, capabilities, and skills:

• Chartered Accountant, Master’s degree, LLB, Company Secretary or other closely related professional qualification will be beneficial.
• Experience in handling regulatory investigations is an advantage

Competencies:

• Ability to develop and maintain productive relationships with key internal clients across all levels.
• A solution driven approach, with exemplary problem solving skills;
• Good analytical ability.
• Ability to own, deep-dive and/or investigate issues and can derive solutions independently, ultimately ensuring successful implementation or resolution
• Experienced with Mantas, technology driven case management tool and/or technology will be preferred and require proficiency in MS Office (Outlook, Excel, Word, PowerPoint etc.), and the experience to handle large volumes of quantitative data
• Ability to work effectively alone and as part of a team, at a local and regional level
• Strong interpersonal or client management skills required to work effectively, influence and/or negotiate desired outcomes with multiple stakeholders and/or senior management
• Good written and verbal communication skills.

Job responsibilities

• Advises and leads the cybersecurity strategy and development of multiple AI-enabled products, applications, and technologies across the CCB portfolio.
• Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about target state architecture.
• Drives the adoption and implementation of new technical methods in cybersecurity in line with the latest product development methodologies.
• Creates durable, reusable cybersecurity frameworks that improve velocity and quality of output across teams and functions.
• Develops architectures that have applicability across businesses and functions.
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formaltraining or certification on cybersecurity architecture concepts and 10+ years applied experience
• Practical experience delivering cybersecurity architecture that can be applied and reused across businesses, functions, and systems.
• Fluent in one or more programming languages or applications.
• Demonstrated prior experience influencing across functions and teams to deliver modern cybersecurity architecture.
• Experience applying expertise and new methods to determine solutions for new and complex cybersecurity problems across various disciplines.
• Extensive practical cloud-native experience.
• Ability to evaluate current and emerging technologies to recommend the best technology solutions or approach to achieve the future state cybersecurity architecture.
  

As an Applied AI/ML Sr. Associate in our Technology team, you will play a crucial role in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will use your knowledge of ML toolkit and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new systems. We are looking for someone with a passion for data, ML, and Software Development, who can understand the data landscape in large and complex organizations.

Job Responsibilities

• Lead programs and provide directions to successfully implement the large AI/ML initiatives
• Assist product leadership in defining the problem statements, execution roadmap
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
• Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
• Collaborate to develop large-scale data modeling experiments, Explain complex concepts to senior funders and stakeholders.
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
• Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction.

Required qualifications, capabilities, and skills.

• BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics.
• At least 5 years’ experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.
• Experience with LLMs and Prompt Engineering techniques.
• 1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc.
• Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models
• Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
• Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
• Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
• Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player

Preferred qualifications, capabilities and skills

• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals
• Experience with A/B experimentation and data/metric-driven product development
• Ability to develop and debug production-quality code. Familiarity with continuous integration models and unit test development

Job responsibilities

• Leads multiple cybersecurity architecture and AI process implementations across departments to achieve firmwide architecture objectives
• Directly manages multiple areas with strategic transactional focus.
• Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business.
• Acts as the primary interface with senior leaders, stakeholders, and executives to drive consensus across competing objectives.
• Manages multiple stakeholders, complex projects, and large cross-product collaborations.
• Develops the function’s objectives and is responsible for their outcomes.
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect, and prioritizes diverse representation.

Required qualifications, capabilities, and skills

• Formaltraining or certification on cybersecurity architecture concepts and 10+ years applied experience
• Experience running teams of architects that design cybersecurity solutions operations on cloud-based platforms and applications.
• Experience designing cybersecurity products and solutions for public cloud-based applications and infrastructure.
• Experience developing and leading large, cross-functional teams of technologists.
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale.
• Experience leading complex projects and supporting system design, testing, and operational stability.
• Experience hiring, developing, and recognizing talent.

Job responsibilities

• Leads multiple cybersecurity architecture and AI process implementations across departments to achieve firmwide architecture objectives
• Directly manages multiple areas with strategic transactional focus.
• Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business.
• Acts as the primary interface with senior leaders, stakeholders, and executives to drive consensus across competing objectives.
• Manages multiple stakeholders, complex projects, and large cross-product collaborations.
• Develops the function’s objectives and is responsible for their outcomes.
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect, and prioritizes diverse representation.

Required qualifications, capabilities, and skills

• Formaltraining or certification on cybersecurity architecture concepts and 10+ years applied experience
• Experience running teams of architects that design cybersecurity solutions operations on cloud-based platforms and applications.
• Experience designing cybersecurity products and solutions for public cloud-based applications and infrastructure.
• Experience developing and leading large, cross-functional teams of technologists.
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale.
• Experience leading complex projects and supporting system design, testing, and operational stability.
• Experience hiring, developing, and recognizing talent.

As an AI Transformation Vice Presidentwithin the Client Onboarding and Services team, you will help lead innovation through the development of AI/ML strategies that delight customers. You will leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams and create groundbreaking solutions that address client needs. You will have the ability to organize and execute towards future state strategy by gathering and providing data and feedback to internal business partners to ensure tools are developed and implemented.

In this role, you will play a crucial role in the day-to-day activities related to program and product execution management, analysis, and delivery of transformative AI/ML initiatives for the Client Onboarding and Service team. This highly visible role includes direct interaction and partnership with project stakeholders and senior leadership. You will be proactive, detail and results-oriented, and possesses communication skills and you will work with Internal partners and our firm’s Senior leaders to drive AI/ML product solutions and the transformation agenda for all Middle Office operations across Client Onboarding and Service.

Job responsibilities:

• Drive meaningful process improvements through the integration of AI/ML technologies and product development to enhance efficiency within COS teams.
• Develop AI/ML product roadmaps for identified Client Onboarding and Service opportunities, including facilitation of business ideation sessions.
• Own the creation of business cases (value proposition and cost benefit analysis) for AI/ML use cases, to support roadmap development and prioritization
• Complete day-to-day processes related to delivery of AI/ML transformation initiatives and support use case analysis and analytics, including financial projections for new market opportunities influenced by AI/ML advancements.
• Work with product and tech development partners for all domains using agile methodology, incorporating AI/ML techniques for client journeys and persona planning.
• Build and monitor the roadmap for roll-out and adoption of AI/ML-driven initiatives and capabilities across clients and employees.
• Develop content to periodically update executive management, leadership, and stakeholders across LOBs on the AI/ML roadmap, delivery milestones, and change management.
• Build relationships that promote a client/customer-centered organization, leveraging AI/ML insights to enhance customer experiences.
• Communicate and leverage business knowledge and AI/ML technical expertise to challenge assumptions and operating models.
• Partner and influence shared purposes through trust and teamwork across businesses and functions; drive a robust risk/control environment by promoting strong controls, including AI/ML model governance.
• Learn new AI/ML product and business knowledge to break down analyses and derive insights to provide key suggestions for stakeholders.

Required qualifications, capabilities and skills:

• Minimum of7years in consulting, business transformation, or a related field.
• Exposure to the financial industry, with an interest in payments and emerging trends in AI/ML applications within this sector
• Experience or demonstrated expertise in delivering AI/ML-driven products, projects, or technology applications.
• Familiarity with the product development life cycle, with a focus on integrating AI/ML models and data analytics.
• Experience contributing to change initiatives within organizations and collaborating with stakeholders across multiple functions.
• Experienced in creating business cases, ROI materials, high quality strategy materials
• Knowledgeable aboutAI/ML technologies andabilityto analyze data and provide insights for stakeholders.
• Experience working with cross-functional teams (e.g., Products, Sales, Tech, Ops) to build relationships and collaborate on AI/ML initiatives.
• Demonstrated ability to work effectively in a team environment, with skills in managing ambiguity and mobilizing internal resources.

Preferred qualifications, capabilities and skills:

• Experience in Data Science or similar field
• Functional skills in Python, SQL, or other database technologies
• Willingness to travel as needed to participate in key partner discussions

Job Summary:

As an Executive Director Data Product Owner for the Quantitative Research Credit team, you will be responsible for defining data products and their attributes, registering metadata, and ensuring rigorous testing and validation. You will collaborate with traders and data consumers to establish data quality metrics and automate monitoring. You will act as a bridge between technical teams and end users, translating requirements into actionable tasks and managing development timelines. Your role will prioritize feature requests, resolve data quality issues, and promote the reuse of data products.

Job Responsibilities
:

• Collaborate closely with Quant Research and Technology on Financial Data Products design and strategy, delivering business value with Data to Credit Trading business.
• Act as the business’s official Data Producer for delivering domain-specific Data Products.
• Define data attribute requirements and map data lineage for each Data Product.
• Perform testing and validation of technical implementations and sign-off.
• Register metadata in the catalog and ensure its evergreen status.
• Define critical data elements, data quality metrics, and alerting thresholds.
• Maintain SLAs for data quality and timeliness to meet consumer needs.
• Provide consumer training and promote the reuse of Data Products.
• Translate consumer requirements into actionable development tasks.
• Manage releases and track development timelines and milestones
• Prioritize feature requests and drive resolution of data quality issues.

Required Qualifications, Capabilities, and Skills:

• Master’s or Ph.D. degree in Math, Physics, Computer Science, Engineering, Data Engineering, or related field.
• Strong track record and hands-on experience with financial engineering and data analysis in Bonds, Loans and other Credit products.
• 10+ years of relevant experience with exposure to Markets data or financial services.
• Solid programming skills in Python, data querying languages and experience with relational and NoSQL databases.
• Experience analyzing complex data sets on prem and in cloud services like AWS, Azure, or GCP.
• Strong communication skills and attention to detail.
• Ability to translate technical concepts for Sales & Trading colleagues.
• Ability to work collaboratively across multiple teams within the firm.

Preferred Qualifications, Capabilities, and Skills:

• Understanding of financial market data and experience with financial data platforms.
• Experience as an end-user of data feeds to contribute to Data Product design.
• Prior experience as a Data Product Owner.