דרושים Quantitative Research Data Engineer Vice President ב-גיי פי מורגן ב-India, Mumbai

As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions.

Job Responsibilities:

• Design and development of optimization models and simulation models.
• Support OR projects individually or part of a project team.
• 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 OR methodologies.
• Ensure the robustness of any mathematical solution.
• Develop and communicate recommendations and OR 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 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional.
• Experience supporting OR projects with multiple team members.
• Hands-on experience developing simulation models, optimization models and/or heuristics.
• Deep understanding of math and theory behind Operations Research techniques
• Proficient in Open Source Software(OSS) programming languages like Python, R or Scala.
• Experience with commercial solvers likeGUROBI, CPLEX, XPRESS, or MOSEK & 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 Operations Research techniques.
• Prior experience building Reinforcement Learning Models.
• Extensive knowledge of Stochastic Modelling.
• Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

Job responsibilities

• Executes 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
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Experience in Core Java (Lambdas, Generics, Collections, Concurrency, JVM internals),Spring Ecosystem (Spring Boot, Spring MVC),
• SQL Database (Postgres, MySQL, Oracle)

• CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
• Cloud platforms (AWS, Azure or GCP)

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the AI/ML & Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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

• Hands-on practical experience in system design, application development, testing, and operational stability
• 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.)

Preferred qualifications, capabilities, and skills

Job responsibilities:

• Build and maintain tools, UIs and frameworks supporting our systematic risk taking in our Rates trading businesses.
• Build and maintain systematic strategies and performance monitoring and attribution systems.
• Enhance the robustness and integration of the tools and models within the wider Rates trading group.
• Process, clean and analyse large datasets used in the context of alpha research.
• Work closely with traders to learn, understand and improve relevant tools and models.

Required qualifications, capabilities and skills:

• Extensive professional experience in software development, with a strong focus on Python
• Experience with data analysis techniques along with relevant data science libraries (numpy, pandas, etc.) and visualization tools (dash, panel)
• Knowledge of database systems (KDB)
• Strong interpersonal and communication skills; ability to collaborate effectively with traders, quantitative researchers and software developers
• Exceptional attention to detail and outstanding work ethic
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering or a related field

Preferred qualifications, capabilities and skills:

• Knowledge of Fixed Income / Rates
• Experience with high-frequency trading, algorithmic trading or electronic trading
• Proficiency in Java
• Experience working collaboratively on common codebases using git

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 software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• 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.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies

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 software engineering concepts and 3+ years applied experience, Bachelor’s degree required.
• Strong skills around object oriented analysis and design (OOAD), data structures, algorithms, design patterns
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in Java 17, Spring Boot, and SQL Databases ,
• Advanced in two or more technologies – Functional Programming, BPMN, Microservices, RESTful webservices development, JMS, Kafka, Hibernate
• Experience with JDBC/JPBA frameworks such as Hibernate or MyBatis.
• Cloud – Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes
• Solid understanding of agile methodologies, CI/CD, Non-Functional requirements like Resiliency, performance and Security.

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

  Preferred qualifications, capabilities, and skills

• Independent and self-motivated
• Strong interpersonal and communication skills
• Exposure to cloud technologies

• Azure certifications such as Azure DevOps Engineer Expert or Azure Solutions Architect.
• Experience with containerization technologies like Docker and Kubernetes.
• Familiarity with configuration management tools like Ansible or Chef.