Frontend Developer/Analytics

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