דרושים Technical Support Ii - Data Processing Aws ב-גיי פי מורגן ב-United States, Columbus

As a Process Improvement Associate II at JPMorgan Chase, you will play a crucial role in reshaping organizational strategy and operating models. Your expertise in business transformation, data analytics, and artificial intelligence tools will be instrumental in driving innovative solutions. You will collaborate with senior leaders to understand and optimize processes, enhancing operational efficiency. Your work will require initiative and judgment to resolve challenges and propose strategic improvements. You will analyze data, craft compelling narratives, and work with diverse teams to achieve common goals.

Job Responsibilities:

• Partner with project team members to interview stakeholders, develop frameworks and insights to address key process improvements, organizational changes, and functional strategic development efforts.
• Collaborate with senior leaders to analyze and optimize processes, enhancing operational efficiency.
• Utilize data analytics and AI tools to drive innovative solutions and offer continuous insights for strategic improvements.
• Assisting in analyzing process data to identify inefficiencies and opportunities for automation
• Craft compelling narratives to effectively communicate complex ideas and influence change within the organization.
• Lead one or more workstreams while demonstrating leadership through influence and enhancing team / organization culture.
• Develop and implement process improvement initiatives, focusing on simplification, manual touch point reduction, and the application of digital process tools.
• Collaborate with cross-functional teams to ensure alignment of process improvement initiatives with organizational goals, fostering a culture of innovation and continuous learning.
• Develop and implement solutions that align with organizational strategy and operating models.
• Leverage AI, LLM (Large Language Models), and NLP (Natural Language Processing) tools to aid in providing actionable insights and innovative solutions to complex business challenges

Required Qualifications, Capabilities, and Skills:

• Undergraduate degree in a related field such as Business, Engineering, or Data Science
• 2+ years of professional experience in business transformation, data / process analytics, or artificial intelligence implementation.
• Proven ability to apply advanced analytical and problem-solving skills to address complex operational issues along with strong client management and executive-level communication skills.
• Advanced analytical, systems-thinking, and problem-solving skills, with strong communication abilities.
• Proficiency in digital process, analytics, and AI tools.
• Commitment to continuous learning, including the latest trends and technologies in process improvement and AI
• Experienced in creating presentations, both written and verbal, tailored for senior audiences.

Preferred Qualifications, Capabilities, and Skills:

• Advanced degree in a related field such as Business, Engineering, or Data Science
• 1+ years management consulting experience
• Technical skills related to data analytics tools (e.g., SQL, Python, R) and visualization tools (e.g., Tableau, Power BI)
• Relevant certifications, such as Lean Six Sigma (GB, BB, MBB), CAP, Google Data Analytics Certificate, AI Engineer, ML Certification, CBPA, CBPP
• Foster cross-functional collaboration to identify and implement process improvement opportunities across departments.
• Use agile methodologies to iteratively develop and refine process improvements, ensuring flexibility and responsiveness to change.

• Proven expertise or certification in Lean Six Sigma, Agile methodologies, Change Management, Organizational Design, or Strategic Consulting Engagements.

Job responsibilities

• Develops a product strategy and product vision that delivers value to customers
• Own and articulate the product vision and roadmap, ensuring alignment with company strategy and customer needs.
• Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
• Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
• Collaborate with architects and engineering teams to address technical debt, application security breaks, Clearinghouse projects and drive technical innovation.
• Lead product launch activities, including communications such as release notes, quarterly and monthly reviews, training, user acceptance testing, and post-deployment analysis.
• Author use cases, prioritize requirements, and maintain a clear, actionable product backlog.

Required qualifications, capabilities, and skills

• Formal training or certification on security concepts and 5+ years of applied experience.
• Advanced knowledge of the product development life cycle, design, and data analytics.
• Good hands on technical knowledge in security, architecture, InfoSec trends, compliance, and risk.
• Hands on experience with Data Loss Prevention (DLP) tools and platforms (Broadcom DLP).
• Lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
• Expertise in standard documentation tools/utilities.

Preferred qualifications, capabilities, and skills

• Working in a highly matrixed, complex organization.
• Experience in security design, architecture, incident response, and strategic planning.
• Professional project or product certifications (e.g., PMP, CAPM, SPM, PDMA) or equivalent experience.
  

Job responsibilities

• Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics.
• Work with product owners, data owners and customers to evaluate data requirements and identify right technology solutions and implementation.
• Design, develop, code, test, debug and deploy applications for scalable and extensible applications.
• Produce high quality code utilizing Test Driven Development techniques.
• Participate in retrospectives to drive continuous improvement within the feature team.
• Participating in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.
• Implement Automation: Continuous Integration and Continuous Delivery.
• Manage Cloud Development and Deployment: Support development and deployment of applications into AWS Public clouds.

Required qualifications, capabilities, and skills.

• Formal training or certification on software engineering* concepts and 3+ years applied experience.
• Advanced knowledge of architecture, design and business processes
• Full Software Development Life Cycle experience within an Agile framework
• Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio or Informatica.
• Experience with the development and decomposition of complex SQL (RDMS Platforms)
• Experience with Data Warehousing concepts (including Star Schema).
• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices.
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption).
• Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
• Experience with one or more leading cloud providers (AWS/Azure/GCP)

Preferred qualifications, capabilities, and skills

• Ability to work fast and quickly ramp up on new technologies and strategies.
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
• Appreciation of Controls and Compliance processes for applications and data.
• In depth understanding of data technologies and solutions is preferable.
• Drive Process improvements and implement process changes as necessary.
• Knowledge of industry-wide Big Data technology trends and best practices

Job Summary

As a Quantitative Finance Analyst & Associate in the Quantitative Finance Program, you will work alongside top-tier professionals in a dynamic environment. You’ll apply academic knowledge to real-world financial challenges, gain hands-on experience, and build a valuable network. This program sets a solid foundation for your career, with potential full-time offers upon successful completion.

• Candidates will be eligible for Analyst or Associate programs based on their academic experience:
  • Candidates enrolled in a PhD program will be eligible for Associate level positions.
  • Candidates enrolled in a Bachelor’s or Master’s program will be eligible for Analyst level positions.
• Candidates eligible for Associate programs are expected to demonstrate advanced proficiency in any programming language.

Job Responsibilities:

• Analyze data to identify patterns, revenue opportunities, and market trends.
• Conduct back testing and assess risk management strategies.
• Maintain and improve software systems and tools for trading operations.
• Assess models for conceptual soundness, risks, and enhancements.
• Propose creative solutions to complex challenges.
• Collaborate with internal teams to advance trading services.
• Focus on model development and review of conceptual design.
• Develop, validate, and enhance mathematical models and algorithms.
• Optimize financial solutions across asset classes and instruments.

Required Qualifications, Capabilities, and Skills:

• Enrolled in a Bachelor’s, Master’s, or PhD program in mathematics, statistics, physics, engineering, computer science, economics, or data science/machine learning, graduating between January 2025 and August 2027.
• Proficiency in Python, C++, or Java.
• Strong analytical, quantitative, and problem-solving skills.
• Excellent communication skills for presenting complex concepts.
• Interest in banking analytics, global markets, and quantitative research.
• Ability to thrive in a fast-paced, collaborative environment.

Preferred qualifications, capabilities and skills

• Experience with R, MATLAB, or SQL.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of banking products, financial instruments, and market dynamics.
• Strong organizational skills for managing multiple projects.
• Ability to articulate complex quantitative concepts to diverse audiences.
• Strong proficiency in financial modeling and data analysis - including probability theory, stochastic processes, statistics, partial differential equations, numerical analysis and econometrics.
• Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives).

Locations:

Quantitative Research Markets Analyst & Associate: (Off-Cycle Internship)

• Role: Develop sophisticated financial solutions across asset classes to help clients manage risk, increase returns, and solve complex financial problems. Engage in quantitative modeling, data analytics, statistical modeling, and portfolio management.

• Team Tasks: Collaborate with quants, technologists, traders, marketers, and risk managers to enhance models and algorithms. Calibrate parameters for market evolution models, optimize pricing, manage portfolio risks, and develop statistical arbitrage strategies. Maintain mathematical models and methodologies for valuing and hedging financial transactions, and improve algorithmic trading strategies.

Quantitative Analytics Analyst – Model Risk Governance Review: (Off-Cycle Internship)

• Role: The Model Risk Governance and Review team are responsible for end-to-end model risk management across the firm. You will help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. While working closely with model developers and users, you will also have an opportunity for exposure to a wide variety of businesses and functional areas.

• Team Tasks: Perform model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products. Provide guidance on model usage and act as first point of contact for the business on all new models and changes to existing models. Develop and implement alternative model benchmarks and compare the outcome of various models; Design model performance metrics. Liaise with model developers, Risk and Valuation Control Groups and provide guidance on model risk. Evaluate model performance on a regular basis.

Systematic Trading Analyst (Off-Cycle Internship)

• Role: Deliver excellence at the intersection of data science, algorithms, and financial markets by developing systematic trading solutions. Engage in designing trading and execution strategies, analyzing data patterns, and improving trading software systems.

• Team Tasks: Collaborate with internal parties to understand client needs and advance electronic trading services. Conduct back testing, assess pricing, risk management, and execution strategies. Expand the library of modeling, analytics, and automation tools. Resolve day-to-day markets trading issues and review trading performance.

Asset Management Analyst: (Summer Internship)

• Role: Apply cutting-edge quantitative investment and data science techniques across a broad range of applications and data types. Create solutions for corporate, government, not-for-profit, and individual clients worldwide. Work in product teams including equities, fixed income, multi-asset solutions, real assets, hedge funds, and private equity. Projects can include developing innovative asset return prediction strategies; now-casting economic conditions; and estimating risk sensitivities.

• Team Tasks: Collaborate with investors, client portfolio managers, traders, research analysts, marketers, and client advisors to develop and implement investment strategies. Engage in assignments that directly impact clients, helping them achieve their business goals. Network with industry leaders and access best-in-class training to sharpen technical skills and finance principles.

After you submit your application, we will review it to determine whether you meet certain required qualifications.

If you are advanced to the next step of the process, you’ll receive an email invitation to complete a coding challenge powered by HackerRank and a recorded video interview powered by HireVue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers.

HackerRank and HireVue are required; your application will not be reviewed until these steps are completed. We will review internship applications as they are received and extend offers on a rolling basis. We strongly encourage you to apply early, as programs will close as positions are filled.

As a Technology Support III – Major Incident Management team member in Consumer & Community Banking – Mission Control, you will ensure the operational stability, availability, and performance of our production application flows. Encourage a culture of continuous improvement as you troubleshoot, maintain, identify, escalate, and resolve production service interruptions for all internally and externally developed systems, leading to a seamless user experience.

Job responsibilities

• Own and drive incident management bridge calls and chats with production management, application development, infrastructure teams, and senior leadership with the purpose of remediating impacting incidents.
• Establishing strong command and control of an incident, establishing clear accountability/ownership and methodical evaluation of complex issue scenarios.
• Ensure adherence to critical process and procedure, and appropriate escalations in support of production incidents.
• Applying technical/environmental knowledge and experience to develop and drive appropriate tasks, forming paths to resolution.
• Distribute clear and concise communications, summarizing incidents and the business/customer experience to a wide group of technical and non-technical audiences.
• Ensure incident data is accurately captured and documented.
• Priming appropriate materials and follow ups to hand-off to the Root Cause Analysis phase in the Problem Management process.
• Working as part of a global follow-the-sun team, providing 24 x 7 production support coverage on a rotating basis

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services.
• Relevant Incident management experience in an enterprise scale environment.
• Extensive customer service, communication, and client interaction skills.
• Possess critical thinking and troubleshooting skills.
• Strong ability to think and act independently to resolve production issues.
• Ability to act with a sense of urgency and agility
• Must display a history of achieving goals in a high-performance environment.
• Advanced analytical skills.
• Must be able to multitask in a fast-paced environment utilizing multiple tools.
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals

Preferred qualifications, capabilities, and skills

• Knowledge of ITL and Cloud Computing

We are seeking a software engineer with expertise in python and prior experience in utilizing LLMs. As an LLM Engineering Lead within Asset and Wealth Management you will be collaborating closely with various teams to prototype, build, test and deploy a large scale federated LLM platform. You will work with an agile team that will work on building, and delivering trusted market-leading technology products in a secure, stable, and scalable way. You will partner with our Global Data Science teams to design, develop, deploy and operate machine learning driven applications and data pipelines.

Job responsibilities

• Hands on involvement in building and operating highly sophisticated LLM driven applications.
• Partnering directly with other technology teams on LLM projects to advise and assist as needed.
• Collaborating with engineering teams, product, to deliver state of the art LLM based solutions.
• Executing creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Developing secure high-quality production code, and reviews and debugs code written by others.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Educated to degree level in a computer science or related discipline.
• Advanced python programming skills.
• Proven experience in building and operating scalable ML-driven products.
• Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) and hands on experience in Azure and AWS
• Proficiency with cloud technologies like Kubernetes, Airflow.
• Experience working in a highly regulated environment.
• Proven ability to iterate quickly.
• Proficient in all aspects of the Software Development Life Cycle.
• Terraform, IaaC experience.
• Experience with design & delivery of large scale cloud-native architectures and microservices performance tuning, performance optimization, real-time applications.

Preferred qualifications, capabilities, and skills

• Experience with financial data and data science.