דרושים Client Account Maintenance Data Analyst ב-גיי פי מורגן ב-United States, Columbus

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

As the Risk Technology UI & Workflow Platforms Lead at JPMorgan Chase within the Risk Tech organization, you will lead a technical area and promote impact across teams, technologies, and projects within various departments. You will leverage your extensive knowledge of software, applications, technical processes, and product management to oversee multiple complex projects and initiatives. In this role, you will serve as the primary decision maker for your teams, fostering innovation and ensuring effective solution delivery.

Job responsibilities

• Leads technology and process implementations to achieve functional technology objectives
• Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Develops and maintains a product roadmap outlining the planned features and enhancements
• Monitors product performance and user feedback to identify areas for improvement and make data-driven decisions
• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Delivers technical solutions that can be leveraged across multiple businesses and domains
• Influences peer leaders and senior stakeholders across the business, product, and technology teams
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient expert experience
• Significant experience of developing or leading cross-functional teams of technologists
• Experience of building technical platforms/products and achieving adoption across a large organisation
• Proven experience of leading a product as a Technical Product Owner or Technical Product Manager
• Proven understanding of platform architecture and development
• Excellent leadership, communication, and interpersonal skills
• Skilled in hiring, developing, and recognising talent

Preferred qualifications, capabilities, and skills

• Financial Services experience
• Degree qualified

The Portfolio Manager will have the following responsibilities:

• Implementation of portfolio construction based on Strategy team's calls and investment vehicle selection
• Maintain knowledge of the investment solutions utilized throughout Private Banking, including, mutual funds, exchange traded funds, structured notes, hedge funds, and separately managed accounts
• Maintain knowledge of each account's unique requirements and sensitivities
• Review and trade portfolios, manage orders and execute trades across managed account business including the following: New account initial investing and phase inTimely implementation of strategic and tactical shifts when announced by Portfolio Construction
• Monitoring cash and security activity in clients’ accounts
• Liquidating accounts
• Monitoring accounts for model drift and strategy deviation
• Relationship management with internal clients (client facing teams)
• Work with various internal partners to complete business initiatives

Key Competencies:

• Bachelor's degree in a finance - related discipline with a minimum 3.3/4.0 GPA. CFA or progress toward attaining CFA designation preferred, but not required
• 1-2 years’ work experience in financial services industry with Private Wealth Management experience preferred
• Demonstrated solid understanding of investments with keen interest in broadening knowledge of portfolio management
• Demonstrated track record of building relationships with internal and external partners
• Prior experience operating within a risk framework

As a Lead Data Engineer at JPMorgan Chase within the Consumer and Community Banking division, you will be an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will be a core technical contributor responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. You will deliver innovative data management solutions using Python and AWS.

Lead Data Engineer delivering innovative data management solutions using Python and AWS.

Job responsibilities

• Provide direction, oversight, and coaching for a team of entry-level to mid-level engineers working on basic to moderately complex tasks.
• Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into effective visual solutions.
• Work in an Agile development environment with team members, including Product Managers, SRE Engineers.
• Develop secure, high-quality production code, review and debug code written by others, and drive decisions influencing product design, application functionality, and technical operations.
• Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end to end Development Life Cycle.
• Influence peers and project decision-makers to consider the use and application of leading-edge technologies.
• Stay current with industry trends and emerging technologies in Data Management, Artificial Intelligence and Machine Learning.

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 5+ years applied experience.
• 5+ years of demonstrated coaching and mentoring experience.
• Hands-on experience in writing code using Python libraries such as Pandas, Boto3, PySpark, and Jupyter Notebooks, along with 3+ years of AWS services experience including Glue, S3, Kafka, and Kubernetes.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight.
• Proficient in automation and continuous delivery methods.
• Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration.
• Experience and proficiency across the data lifecycle.
• Evaluates and reports on access control processes to determine effectiveness of data asset security​ with minimal supervision.
• Advanced understanding of agile methodologies, Application Resiliency, and Security.
• Bachelor’s degree in data science, Computer Science, Information Systems, Statistics, or a related field.

Preferred qualifications, capabilities, and skills

• Strong Python experience, especially in the context of developing solutions for large financial platforms.
• Strong experience in AWS serverless services including expertise in using AWS Step functions, Lambda , Dynamodb and NoSQL database services
• Experience using AWS Lake Formation service.
• Familiarity with Snowflake/Databricks or other PaaS offerings.
• Experience with metadata management and machine learning.

As a Lead Data Engineer at JPMorgan Chase within the Corporate Sector, you will be part of an agile team dedicated to enhancing, designing, and delivering the software components of the firm’s cutting-edge technology products in a secure, stable, and scalable manner. In your role as an emerging member of a software engineering team, you will execute software solutions by designing, developing, and technically troubleshooting various components within a technical product, application, or system, while acquiring the skills and experience necessary for growth in your position.

Job responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches to build effective solutions and resolve technical challenges.
• Develop secure, high-quality production code, and review and debug code written to ensure optimal performance and security.
• Identify opportunities to eliminate or automate the remediation of recurring issues, enhancing the overall operational stability of software applications and systems.
• Lead evaluation sessions with internal teams to assess architectural designs, technical credentials, and their applicability within existing systems and information architecture.
• Lead communities of practice across Software Engineering to promote awareness and adoption of new and cutting-edge technologies.
• Collaborate with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
• Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of data.
• Design and implement scalable data frameworks to manage end-to-end data pipelines for Financial Risk data analytics.
• Share and develop best practices with Platform and Architecture teams to enhance data pipeline frameworks and modernize the finance data analytics platform.
• Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Comprehensive understanding of all aspects of the Software Development Life Cycle.
• Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Databricks, Glue, Lambda, EMR, ECS, and Aurora.
• Advanced knowledge of agile methodologies, including CI/CD, application resiliency, and security practices.
• Proficiency in programming languages, and experience in Apache Spark for data processing and application development.
• Experience with scheduling tools like Autosys or Airflow to automate and manage job scheduling for efficient workflow execution.
• Hands-on experience in system design, application development, testing, and ensuring operational stability.
• Demonstrated expertise in software applications and technical processes within specialized disciplines such as cloud computing, artificial intelligence and machine learning
• Proficiency in automation and continuous delivery methods, enhancing efficiency and reliability.
• In-depth understanding of the financial services industry and its IT systems.

Preferred qualifications, capabilities, and skills

• Expertise in relational databases such as Oracle or SQL Server.
• Skilled in writing Oracle SQL queries utilizing DML, DDL, and PL/SQL.
• Possession of AWS certification, demonstrating cloud expertise.
• Familiarity with Databricks for advanced data analytics and processing.