Data Scientist jobs in United States, Delaware, Wilmington

Job Responsibilities

• Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs
• Bridge scientific research and software engineering, applying expertise in both domains
• Collaborate with engineering teams to lead the design and delivery of GenAI products
• Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications
• Integrate GenAI solutions with enterprise platforms using API-based methods
• Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
• Align ML problem definition with business objectives
• Communicate technical information and ideas effectively to stakeholders

Required Qualifications, Capabilities, and Skills

• PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics
• Ten years of experience in an individual contributor role in ML engineering
• Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms
• Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models
• Experience integrating GenAI solutions with enterprise platforms via standardized API patterns
• Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
• Excellent grasp of computer science fundamentals and SDLC best practices
• Strong communication skills to build trust with stakeholders

Preferred Qualifications, Capabilities, and Skills

• Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray
• Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints
• Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed

*** Relocation assistance is not available for this role.

As a Big Data Software Engineer III - PySpark at JPMorgan Chase within the Finance Technology team, you will be a key member of an agile team dedicated to designing and delivering market-leading technology products that are secure, stable, and scalable. Your role involves implementing critical technology solutions across various technical domains to support the firm's business objectives. You will assist the Chief Financial Officer (CFO) for Community and Consumer Banking by developing and maintaining financial software applications, automating data collection and reporting, and creating budgeting and forecasting tools. Your responsibilities include ensuring compliance with financial regulations, enhancing data security, and integrating financial systems for efficient operations. You will work closely with the CFO and financial team to translate their requirements into technical solutions, provide technical support, and identify opportunities for process improvements.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on system design concepts and 3+ years applied experience
• Proficient in coding in back-end Python and SQL
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Understanding of Lake House architecture and ability to migrate data onto PySpark

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies - AWS/Public cloud strongly preferred
• Experience with Data Processing, Data Lake, and Databricks

As a Head of Supplier Controls Intelligence, with in Global Supplier Service, you will play a crucial leadership role within the Corporate Third-Party Oversight (CTPO) organization, directly reporting to the Global Head of CTPO. Your role is designed to transform the Supplier Due Diligence teams by integrating state-of-the-art supplier controls methodologies. Your key responsibilities include optimizing intelligence collection processes, expanding visibility into supplier risks, and translating data into actionable insights. You will also be required to engage with senior executives, effectively communicate with stakeholders, explore innovative applications of intelligence across Third-Party Oversight (TPO) processes, and align initiatives with Lines of Business (LOBs). Furthermore, your position involves overseeing data analysis, fostering a culture of innovation, and building strong stakeholder relationships to propel control initiatives forward.

Job Responsibilities:

• Lead the adoption of cutting-edge methods for supplier controls to enhance data collection and improve risk visibility, contributing to an organization that values innovation, promoting a proactive approach to risk management.
• Streamline collection processes to maximize efficiency and effectiveness, ensuring timely and accurate data acquisition.
• Convert diverse data sets into cohesive, actionable insights, and enhance communication with stakeholders.
• Innovate the application of insights within Third-Party Oversight (TPO) processes, providing assessors with indirect information and summarizing findings into thematic risk categories.
• Work closely with Lines of Business (LOBs) to ensure efforts are aligned with business objectives and risk management strategies.
• Develop and implement strategies to capitalize on advancements in supplier controls, enhancing risk management capabilities.
• Drive the transformation of SAS into an organization focused on management of residual risk.
• Oversee the collection, analysis, and dissemination of data to supportdecision-making andrisk mitigation.
• Engage with senior regulators to inform and influence best practices in risk management, ensuring compliance and proactive risk mitigation.
• Foster a team culture that prioritizes innovation and continuous improvement, encouraging creative solutions to complex challenges.
• Build and maintain strong relationships with internal and external stakeholders to support and advance strategic initiatives.

Required qualifications, capabilities, and skills

• 15+ years experience in a senior leadership role specializing in third-party risk management, demonstrating a strong track record of success.
• In-depth expertise in supplier controls intelligence and risk management practices, with a focus on implementing industry best practices.
• Demonstrated proficiency in integrating and interpreting complex data from diverse sources to drive informed decision-making.
• Outstanding communication and collaboration skills, with the ability to work seamlessly across cross-functional teams and foster a cooperative work environment.
• Proven capability to effectively engage and build relationships with senior regulators, influencing risk management practices and ensuring compliance.
• Strategic thinker with a history of successfully driving organizational transformation and fostering innovation, leading to enhanced performance and growth.

Job responsibilities

• Be equipped with solid capability to communicate financial markets and fund products in terms of the investment philosophy, investment strategy, portfolio construction, performance contribution and other matters relevant to the product.
• Communicate professional information in different client & channel languages. Clients refer to internal sales, direct clients, channel financial advisors and institution clients. The candidate should be able to present necessary information in both written and spoken context, and therefore promote products to generate sales and grow AUM.
• Possess great communication and team working for coordination
• Work effectively and proactively with the team and all internal parties
• Act as a team player to achieve overall business objectives

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Finance or related discipline
• At least 3 years of working experience in financial industry
• Excellent verbal and written communication skills
• Fluent in spoken and written Chinese, conversational spoken and written English
• SITCA License, or Senior Brokerage License is a must
• Self-motivator, achiever, goal getter and able to work independently with multitasks

Preferred qualifications, capabilities, and skills

• Experienced in product communication of mutual funds
• CSIA or CFA qualification

Job responsibilities

• Administer, design, implement and support highly available and scalable Mainframe DB2 & IMS database solutions
• Implement data models, database designs, data access and table maintenance codes.
• Implement and maintaining the DB2/IMS Databases with High Availability features using Data Partitioning and Database replications.
• Resolve database performance issues, database capacity issues, replication and other data issues.
• Work with Information Architects and Database Designers to implement the physical data model.
• Develop the database performance monitoring process and analyze data for optimization opportunities.
• Provide up to Level 2 on call support for the 24/7 DB2/IMS database environment.
• Manage on-site backup and recovery process.
• Plan for and execute required database upgrades or migrations.
• Work with database admin tools like CA Platinum/ BMC/ IBM Admin tools, Mainview, IBM Data Studio, BMC Recovery management etc.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Database design/development, integration, performance monitoring & tuning, systems re-engineering and Operations support.
• Knowledge of DB2 for z/OS along with mainframe related tools such as BMC, CA Platinum for monitoring, SMPE, ISPF, SMS, SMF.
• Expertise with IMS Full Function/Fast Path database implementation, REXX programming and MQ
• Experience in IBM Replication CDC , QREP.
• Capable of creating the roadmap, processes, best practices, standards, and strategies for continuous improvement, resiliency, and scalability.
• Experience with Atlassian tools like Jira, Confluence.
• Proven background on database engineering, automation, monitoring, performance engineering design and implementations.
• Strong execution mind-set to manage and track progress against transformation goals.
• Knowledge of industry-wide technology trends and best practices.

Preferred qualifications, capabilities, and skills

• Experience providing 24x7 rotational support.
• Understanding of Distributed and Static SQL workloads
• Familiar with IDAA (Data Analytics Accelerators)

works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing
misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology

Job responsibilities

• Executes creative security solutions, design, development, and technical troubleshooting with the ability to think beyond
  routine or conventional approaches to build solutions and break down technical problems.
• Develops secure and high-quality production code and reviews and debugs code written by others.
• Minimizes security vulnerabilities by following industry insights and governmental regulations to continuously evolve
  security protocols, including creating processes to determine the effectiveness of current controls.
• Works with stakeholders and business leaders to understand security needs and recommend business modifications during
  periods of vulnerability.
• Conducts discovery, vulnerability, penetration testing, and threat scenarios on multiple organizational assets to identify and
  assess if vulnerabilities are present, and executes threat modeling for multiple applications including external applications
  interacting with the internal JPMorgan Chase network.
• Works across customer engineering teams to help apply our framework and applications to their problem domain.
• Prototypes and recommends changes and additions to system components based on engineering customer experiences.
• Focuses on an integrated system approach to delivery versus ad-hoc add- ons to the architecture; looks for commonality
  and patterns in the needs of the engineering teams.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Skilled in planning, designing, and implementing enterprise level security solutions.
• Advanced in one or more programming languages like Java or Python.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Understand requirements management processes for highly regulated environments.
• Cloud experience (AWS, Azure) and delivery mechanisms such as Terraform.
• Kubernetes and related tooling experience.
• Experience with threat modeling, discovery, vulnerability, and penetration testing.
• In-depth knowledge of the financial services industry and their IT systems.
• Experience with big data platforms and technologies such asApache Flink, Apache Spark, Trino, Kafka, Apache Iceberg.

Preferred qualifications, capabilities, and skills

• Experience effectively communicating with senior business leaders.
• Experience with Data Lake and Lake House Architectures and tooling.