דרושים ב-Jpmorgan 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.
  

Job Description

As a Transaction Processing Analyst in Security Services Operations, you'll provide operational support within our Corporate Investment Bank. You will be responsible for ensuring that all aspects of transaction management for clients are completed on time and exceptions and client inquiries are resolved. You will also provide subject matter expertise to clients. Additional responsibilities may include managing daily regulatory reporting tasks and remediation activities, as well as process improvement.

Responsibilities:

• Review of legal documentation and input of key parameters from the legal documentation into the systems of JP Morgan.
• Identify issues and co-ordinate with the relevant functions internally (eg: credit, legal etc) for prompt resolution on disputed points within set time-frame parameters
• Working with key partners in legal, business, operations and technology, contribute towards the development of an efficient operating framework
• Working closely with regional Legal operations Department (which has the overall responsibility for Master Agreement Negotiation and Transactions), the business and other stakeholders.
• Productivity and Quality will be the measure of performance for this role. Producing good quality work is therefore paramount to the success of the candidate in the organization
• Take lead on process improvement and automation
• Manage assigned tasks independently with little or no supervision
• Have a control mindset and be alert to issues and risks that have impact on process or to the organization

This role requires a wide variety of strengths and capabilities, including:

• Thorough understanding of the legal language to interpret the documents provided and impact to the Firm
• Understanding of the financial services industry, products, and processes
• Strong analytical skills with excellent oral and written communications skills
• Attention to detail and ability to perform tasks with high degree of accuracy
• A strong sense of ownership and responsibility
• Excellent client focus and customer care working practices
• Bachelor’s degree
• Strong computer skills (MS Excel, Word, PPT, Outlook, etc.)
• Willingness and flexibility to work during US hours

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.