Engineer

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Job Description Your Role: The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks to deliver effective and efficient solutions enabling greater risk intelligence and insights as defined by departmental leadership.

You will be responsible for:

• Acquire, transform, and manage data supporting risk and control related activities
• Design, build, and maintain data products and software supporting individual tasks and projects.
• Build and maintain programming code, software packages, and databases to supporting ongoing analytics activities.
• Exercise judgment in determining application of data 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.

The experience you bring:

• Minimum 1 year of experience in data analysis, programming, or software development roles; demonstration of strong programming skills will be considered in lieu of required experience in professional roles.
• Experience within the financial services sector preferred
• 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 scripting and managing data on Snowflake a plus
• Experience with ServiceNow administration, implementation and development a plus
• 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
• 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

Academic requirements:

• 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

Full Time / Part Time Full time

Worker Type Employee

Job Exempt (Yes / No) No

Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office.

Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs).

What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to:

• Competitive Compensation
• Flexible, Hybrid Work
• 30 days’ Annual Leave + Public Holidays
• Life Insurance
• Retirement Planning
• Group Personal Accident Insurance
• Medical Insurance for Employee and Family
• Annual Health Check-up
• 26 weeks Maternity Leave
• Paternal Leave
• Adoption Leave
• Near site Childcare Facility
• Employee Assistance Program
• Study Support
• Employee Stock Purchase Plan
• ESG Commitments and Goals
• Business Resource Groups
• Career Development Programs
• Mentoring Programs
• Invesco Cares
• Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence.

To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about\-us/our\-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our\-commitments/diversity\-and\-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our\-commitments/corporate\-responsibility.html Apply for the role

@ Invesco Careers : https://careers.invesco.com/india/