Front End Developer

Design, develop, and maintain scalable web applications using React.js.

Build and optimize Progressive Web Applications (PWAs) with offline capabilities, push notifications, and responsive design.

Implement mobile-first features and ensure cross-device compatibility.

Handle app packaging and distribution for various platforms (e.g., Android, iOS via PWA standards).

Collaborate with UI/UX designers and backend developers to deliver high-quality user experiences.

Design, build, and maintain a scalable component library to promote UI consistency and reusability across projects

Ensure cross-platform optimization and responsiveness of applications.

Optimize application performance and loading times.

Integrate APIs and manage state using modern tools (e.g., Redux, Context API).

Implement and manage push notifications and background sync features.

Advocate for and implement best practices in UI architecture, including modularity, theming, and performance optimization.

Stay up to date with the latest trends in Web development and PWA capabilities.

Hospitality services domain experience is a plus.

Strong problem-solving skills, with the ability to work independently and in a team.

Proficiency in Agile methodologies and software development best practices.

Experience with version control systems, particularly Git.

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

● Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

● Thorough understanding of React.js and its core principles

● Experience with popular React.js workflows (such as Flux or Redux)

● Familiarity with newer specifications of EcmaScript as well as HTML and CSS

● Experience with data structure libraries (e.g., Immutable.js)

● Working knowledge and integration knowledge with RESTful APIs

● Knowlegde of websockets implementation is a must.

● Knowledge of modern authorization mechanisms, such as JSON Web Token

● Familiarity with modern front-end build pipelines and tools

● Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

● Ability to understand business requirements and translate them into technical requirements.

● A knack for benchmarking and optimization

● Familiarity with code versioning tools {such as Git}

● Added advantages if you have working knowledge of AWS

• Strong programming skills in JavaScript.
• Experience with ReactJ, frontend frameworks like bootstrap, Jquery.
• Good knowledge in HTML5, CSS, CSS3 and Object Oriented concepts
• Experience in working with RESTful APIS.
• Experience with HTTP, HTTPS and WebSockets.
• Knowledge in version control- Git, Subversion.
• Exposure to OWASP standards and guidelines.