דרושים Advancing Hispanics & Latinos Fellowship Program - Data Science Track ב-גיי פי מורגן ב-United States, Plano

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 2+ years’ experience with Hadoop ecosystem technology stacks as HDFS, HBase, Hive, Pig, Spark, Map Reduce, Cloudera etc.
• Experience in using Eclipse/IntelliJ, Maven, Jenkins, GIT, JIRA, Control M or equivalent tools
• Experience with AWS technologies, Cassandra, Kafka, Scala, Python and/or Java
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)

Preferred qualifications, capabilities, and skills

• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

As a Compliance and Operations Risk Test Lead in the Testing Center of Excellence, you will play a pivotal role in enhancing our compliance and operational risk management. Your expertise in test execution will be crucial in managing and conducting precise and accountable tests, ensuring alignment with the firm's highest risks. Your analytical thinking and problem-solving skills will be key in identifying control coverage gaps and driving remediation of control issues. You will also be responsible for planning and organizing your own work, and potentially that of a team, while liaising and coordinating activities across various departments. Your role will be integral in ensuring a cohesive and efficient testing framework, contributing to the seamless delivery of quality outcomes.

Job responsibilities:

• Lead comprehensive control evaluations and substantive testing to independently assess the design and effectiveness of controls for the assigned team. Ensure compliance with internal policies, procedures, and external laws, rules, and regulations, while identifying necessary remediation actions. This includes developing and executing testing procedures, meticulously documenting results, drawing informed conclusions, making actionable recommendations, and distributing detailed compliance testing review reports.
• Proven ability to perform assessments of the control environment, identifying control coverage gaps and verifying the proper design and implementation of controls.
• Foster collaboration with Compliance and Operational Risk Officers on various engagements. This includes developing detailed test scripts, facilitating issue discussions, participating in business meetings, and drafting comprehensive final reports to ensure alignment and clarity.
• Utilize advanced critical thinking skills to apply substantive testing techniques, thoroughly evaluating the effectiveness of high-risk business processes and identifying potential areas for improvement.
• Proactively assess and monitor risks, ensuring adherence to firm standards, regulatory requirements, and industry best practices. Implement strategies to mitigate identified risks effectively.
• Collaborate with cross-functional teams and stakeholders to support the design and effectiveness of controls. Drive initiatives that enhance the business control environment through recommended updates to the Compliance and Operational Risk Evaluation (CORE) application.
• Develop and execute robust control test scripts aimed at identifying control weaknesses, determining root causes, and recommending practical solutions to enhance operational efficiency and control effectiveness.
• Document test steps and results in a comprehensive and organized manner, ensuring sufficient support and justification for testing conclusions. Maintain a high standard of documentation to facilitate transparency and accountability.
• Lead meetings with business owners at various management levels, delivering testing results and supporting sustainable control enhancements. Identify and capitalize on opportunities to strengthen controls and improve operational efficiency.

Required qualifications, capabilities, and skills:

• A qualified graduate with minimum of 8 years of experience or equivalent expertise in risk management, assessment, control evaluations, or a related field.
• Possess a strong understanding of financial industry standards and regulatory requirements.
• Demonstrated ability to analyze complex issues, develop and implement effective risk mitigation strategies, and communicate insights and recommendations clearly to senior stakeholders.
• Proficient knowledge of risk management frameworks, regulations, and industry best practices. Ability to stay updated with evolving regulatory landscapes and adapt strategies accordingly.
• Exceptional ability to develop and communicate well-founded recommendations based on regulatory guidance and standards, ensuring alignment with organizational goals and compliance requirements.
• Highly organized and detail-oriented, with a proven track record of managing multiple priorities and delivering results in a fast-paced environment.
• Strong analytical and communication skills, with the ability to convey complex information in a clear and concise manner to diverse audiences.

Preferred qualifications, capabilities, and skills:

• CISM, CRISC, CISSP, CISA, CCEP, CRCM, CRCMP, GRCP, or other industry-recognized risk and risk certifications preferred.
• A background in auditing and the ability to understand of internal controls is beneficial.
• Proficiency in MS (Microsoft Suite) Office - Microsoft Word, Excel, Access, and PowerPoint.
• Proficiency in utilizing Project Management methodologies, tools, and techniques to lead and manage aspects of the project management lifecycle.

Are you ready to take on a pivotal role in shaping data strategies that drive business operations and strategic objectives? As a Data Owner Lead, you will be at the forefront of executing data strategies that empower our organization to achieve its goals. Serving as a subject matter expert, you will bridge the gap between data providers and consumers, ensuring that business data is not only understood and fit for purpose but also well-governed.

As a Data Owner Lead within our data management team, you will play a pivotal role in executing data strategies that promote business operations and strategic objectives. You will serve as a subject matter expert, coordinating between providers and consumers to ensure business data is understood, fit for purpose, and well-governed. Collaborating with cross-functional teams, you will identify and prioritize data needs, ensuring data quality, protection, integration, and utilization across the organization. Your leadership will foster a data-promoten culture that supports organizational growth and competitive advantage. As a Data Owner Lead, you will implement strategic data plans, manage projects, and collaborate with partners to ensure data is well-documented and controlled. You will lead efforts to mitigate data risks and enhance data quality, ensuring data serves as a trusted asset for decision-making and innovation.

Job Responsibilities:

• Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, to align with organizational goals
• Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project / initiative
• Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
• Document comprehensive requirements for data sourcing, content and quality, and coordinate with technology and business partners to ensure timely, complete, and accurate data
• Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality
• Support data analytics and products by identifying and governing data required to be integrated into analytics platforms to support analytics projects
• Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust
• Manage and guide direct or matrixed staff in executing data-related tasks and initiatives

Required qualifications, capabilities, and skills:

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related fieldl
• 6+ years of experience in data management, data governance, risk management/analytics, or a related field
• Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
• In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification
• Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
• Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
• Strong leadership skills with experience in managing and mentoring cross-functional teams
• Proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects

Preferred qualifications, capabilities, and skills:

• Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud.
• Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context.
• Knowledge of query or analytical programming languages
• Experience in leading digital transformation initiatives that leverage data to drive business innovation and efficiency.

Job Responsibilities:

• Develop software applications that serves as the primary way customers interact with our platform and its associated services
• Participate in and drive system design through the various phases of planning, review, refinement, and implementation
• Build strong collaborative relationships with technology peers, product owners, stakeholders, and external partners
• Plan, coordinate, and execute development of tactical and strategic roadmaps for test coordination and project delivery
• Demonstrate strong technical expertise and critical thinking; clearly communicate defect status, project risks, and progress updates to senior leadership
• Focus on continuous personal development, upskilling, and fostering an innovative culture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience with designing and implementing large scale distributed systems
• Advanced level experience in Core Java, Object Oriented Programming, and Spring
• Advanced knowledge of application, data, and infrastructure architecture, including design across systems and OOAD skills
• Ability to translate functional requirements into technical design and solutions
• Strong experience with Agile methodology, SDLC tools (JIRA, Jenkins, GIT, JUnit, Karate), and working in Agile teams
• Proficient in microservices frameworks (Spring Boot), REST, and programming/application development using Java and Spring Boot
• Knowledge of industry-wide technology trends, best practices, and process improvement opportunities

Preferred qualifications, capabilities, and skills

• Banking and payments domain background is a plus
• Experience with cloud and container-based development (AWS, Docker, Kubernetes, Kube) and orchestration

As a Lead Data Scientist in Workforce Planning (WFP), you will spearhead the development and implementation of advanced AI/ML solutions to address complex, data-intensive challenges within the organization. You will be responsible for quickly assessing unstructured problems, devising innovative problem-solving strategies, and delivering impactful data science solutions that enhance real-time inference and decision-making capabilities.

Job Responsibilities

• Design and development of Machine Learning, Artificial Intelligence and Statistical models.
• Lead Artificial Intelligence (AI)/Machine Learning (ML) projects along with mentor and coach junior team members.
• Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
• Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research
• Ensure the robustness of any data science solution.
• Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
• Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.

Required Qualifications, Capabilities, and Skills

• Master’s Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
• 2+ years of experience leading AI/ML projects with multiple team members
• Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
• Deep understanding of math and theory behind AI/ML algorithms.
• Proficient in data science programming languages like Python, R or Scala.
• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
• Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.

Preferred Qualifications, Capabilities, and Skills

• Advanced expertise with Time Series and Operations Research techniques.
• Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
• Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
• Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

As a Risk program Senior Associate within the Chase consumer Bank, you'll be the analytical expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products. This includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from data gathered for billions of transactions. Your expertise and insights will help us effectively utilize big data platforms, data assets, and analytical capabilities to control fraud loss and improve customer experience.

Job Responsibilities:

• Identify and retool machine learning (ML) algorithms to analyze datasets for fraud detection in the Chase Consumer Bank.
• Perform machine learning tasks such as feature engineering, feature selection, and developing and training machine learning algorithms using cutting-edge technology to extract predictive models/patterns from billions of transactions’ amounts of data.
• Collaborate with business teams to identify opportunities, collect business needs, and provide guidance on leveraging the machine learning solutions.
• Interact with a broader audience in the firm to share knowledge, disseminate findings, and provide domain expertise

Required qualifications, capabilities and skills:

• Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantitative fields.
• 2+ years of experience with data analysis in Python.
• Experience in designing models for a commercial purpose using some (at least 3) of the following machine learning and optimization techniques: CNN, RNN, SVM, Reinforcement Learning, Random Forest/GBM.
• A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed.

Preferred qualifications, capabilities and skills:

• PhD in a quantitative field with publications in top journals, preferably in machine learning.
• Experience with model design in a big data environment making use of distributed/parallel processing via Hadoop, particularly Spark and Hive.
• Experience designing models with Keras/TensorFlow on GPU-accelerated hardware.
• Experience with graph technology, including designing and implementing graph-based machine learning models for fraud detection or risk assessment. Familiarity with graph databases (such as TigerGraph or Neo4j …), graph algorithms (e.g., node classification, link prediction, community detection), and graph feature engineering is highly desirable. Ability to leverage graph analytics to uncover complex relationships and patterns within large-scale transaction data is a strong plus.
• Hands-on experience with transformer models and related architectures (such as BERT, GPT, or Graph Transformers) for natural language processing, anomaly detection, or transaction analysis. Proficiency in fine-tuning and deploying transformer-based models using frameworks like PyTorch or TensorFlow is preferred. Demonstrated ability to apply transformer models to extract meaningful insights from unstructured or semi-structured data sources will be highly valued.