דרושים Senior Principal Architect - Servicenow 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.

As a Legal Entity Controller within the J.P. Morgan Securities Legal Entity Controller team, you will lead a team of accounting professionals, providing expertise in project management, Swiss financial regulatory reporting and general accounting matters. You will also provide technical support on complex subject, and partner with operational functional peers (e.g., credit, operations, CFO, compliance, treasury). The role offers interaction with different regions and exposure to management. It will be based in Geneva, reporting to the PB EMEA Controller.

Job responsibilities:

• Able to lead strategic and complex projects, manage large data sets, understand data flows, and foster a culture of automation.
• Support the vision for the Global Private Bank Financial Reporting product and create a product road map based on this vision. Perform financial analysis and reviews, including income statement and balance sheet variance analysis, legal entity financial board pack reviews, and US financial regulatory reporting submissions.
• Maintain the integrity of the financial statements and control environment, with an automation mindset.
• Provide ad hoc assistance on Local Swiss and US financial regulatory reporting and corporate matters.
• Partner on various matters, such as new business initiatives, complex financial products, and business requests, with CFOs, operations, corporate tax, technology, risk, credit risk, compliance, treasury, and legal colleagues
• Provide business and data analysis to cross line of business initiatives; analysing and documenting key business discussions, dependencies, and other project related materials

Required qualifications, capabilities, and skills:

• Qualified Accountant, Bachelor's degree in Accounting, Finance, or a related field.

• A minimum of 8 years of experience in banking or financial services, ideally with experience in a global private bank framework.

• Strong knowledge of one of the following skills: accounting principles, financial regulatory reporting (e.g. capital and liquidity), and banking products is a plus.

• Working experience on Olympic and/or Temenos Banking Systems, ideally in a change management role and experience using financial reporting tools such as SAP, MS Office suite and business intelligence/automation tools such as Tableau, Alteryx, Python, etc.

• Knowledge of the local Swiss financial regulatory reporting framework, ideally using the Fire platform

• Very good communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

• Skills in stakeholder influencing, conflict resolution, organization, and time management

• Fluent in English.

Preferred qualifications, capabilities, and skills:

• Fluency in French is a plus.
• CPA title or equivalent is preferred.

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.

You will be a trusted advisory to project and product leads, and a technical resource capable of going deep when needed.

Job Responsibilities:

• Core technical contributor and expected to apply your expertise in cybersecurity engineering, application, cryptography, and architecture domains to operate as the security-lead part of projects and initiatives supporting Payments. Define, Design, and Guide security throughout existing and future payment technology environments.
• Work with internal technology team to ensure security and compliance is designed from-the-start for modern technology stacks such as point-of-sale devices (POS), device key and identity management, public cloud connectivity, API gateways, & hybrid environments.
• Advise and assist on opportunities for architectural patterns, repeatability, and advise on deviations. In this context, a strong understanding of security tooling is important as you as you will advise your stakeholders on how and where to leverage various security products to mitigate risk.
• Research, design and apply advanced security techniques such as threat modeling and structured architecture reviews.
• Translate and advise on technical designs that must meet risk profile and compliance needs in a global context. Including cross-border, data sovereignty, and design/advise to ensure our tech teams meet respective regulatory requirements applicable to their workloads.
• Partnering with our Commercial and Investment Bank and other technical teams to ensure area owners are advise and oversee security design and implementation, applied in a timely manner. Providing regular management reporting to senior management and relevant stakeholders in business units.
• Design security solutions to manage risk for new and emerging technologies in the Payments space.
• Perform threat modelling to identify potential security risks and develop mitigation strategies. Use your knowledge of applicable regulatory requirements such as PCI-DSS, HIPAA, etc. to design secure architectures that both meet security, risk, and compliance requirements.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on cybersecurity architecture concepts and 5+ years applied experience.

• This role will provide security support for new and emerging technologies in the Payments space, so having professional curiosity to learn new technologies, and aptitude to support new and emerging technologies, while driving priorities with autonomy, will be highly important.

• Practical working knowledge of, or experience architecting and providing security guidance inline with industry frameworks applicable to Payments (ie: PCI-DSS, HIPAA, etc.).
• Hands-on experience in threat modeling and designing secure controls for enterprise-level solutions. Thorough design and security architecture experience in one or more of the large public cloud providers. (e.g. AWS, Azure, Google Cloud) Certifications advantageous.
• Cryptography experience in regard to key and secrets management for point-of-sale (POS) devices, IoT devices or peripherals. Experience designing secure solutions specific to hybrid connectivity both in house across platforms and cloud providers.
• Experience designing secure solutions specific securing (payments) flows between 3^rdparties or business partners.
• Experience with Point of Sale (POS) device security, key management, identity, and interconnectivity with third parties, hybrid, and on-prem ecosystems. In-depth knowledge of the financial services industry and their IT systems

Preferred Qualifications, Capabilities, and Skills:

• Security architecture role or responsibilities at large enterprise, global scale.
• Experience working with AI models and complex distributed data sets. API Gateway security expertise.
• Proficiency in information security domains, including policies and standards, risk and control assessments, access controls, regulatory compliance, technology resiliency, risk and control governance and metrics, incident management, secure systems development lifecycle, vulnerability management, and data protection . Risk management, governance, risk & compliance experience – preferably intersected with technical design and architectural inputs.
• Experience managing Identity and Access Management (IAM) in an enterprise and hybrid environments.
• Experience conducting architecture reviews to find and evaluate application and infrastructure security risks using formalized Threat Modeling methodologies (e.g., STRIDE). Experience in Application Security, background in penetration testing will be helpful in this role.