Frontend Developer/Analytics

at Invesco

Frontend Developer/Analytics

Invesco

Company

Home

Frontend Developer/Analytics at Invesco · Hyderabad · 3 - 7 years · ₹10L - ₹30L / yr · Profitable · Posted 12 Jun 2023

Frontend Developer/Analytics

at Invesco

Posted by Chandana Srii

3 - 7 yrs

₹10L - ₹30L / yr

Hyderabad

Skills

React.js

Javascript

Plotly

R Language

D3.js

ETL

Amazon Web Services (AWS)

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

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

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About Invesco

Founded :

1935

Type :

Product

Size :

5000+

Stage :

Profitable

About

Supportive. 🙌🏼 Inclusive. 🌈 Connected.🫱🏻‍🫲🏻

A true sense of belonging connects us all. We thrive because of our relationships with others and achieve more when we work together.

Supportive. 🙌🏼 Inclusive. 🌈 Connected.🫱🏻‍🫲🏻

A true sense of belonging connects us all. We thrive because of our relationships with others and achieve more when we work together.

Candid answers by the company

What does the company do?

What is the location preference of jobs?

How does our hiring process look like?

How is life at Invesco?

We are a global investment firm dedicated to creating greater possibilities for our clients.

Dedicated team

We are more than 8,400 dedicated people in over 26 countries applying our passion, integrity, and expertise every day to solving the needs of our clients and finding new ways for them to realize their goals.

Driven by solutions

We are driven by creating the right solutions for our clients using investing art, science, and expertise across the firm, around the world, and across nearly every asset class, strategy, and vehicle.

Power of ideas

We believe in the power of ideas

over a top-down investing approach or philosophy. We seek out and embrace diverse thinking and ideas to create the best outcomes for our clients and their differing needs.

Solving challenges

We commit to our responsibilities, the role we play in the world, and the challenges we help solve - from the products we create to how we apply ESG principles as investors and how we live them as an organization.

Managing with trust

This is why we’re trusted to manage $1.5 trillion of assets*, giving our clients the confidence of working with a partner with size, scale and stability, who takes the utmost pride in their duty of care.

Company social profiles

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Product Documentation - Refer https://docs.yugabyte.com/">here

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Follow the links to know more about us:

Funding:

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Expert in software processes and tools ( Agile, CI/CD, Git, Jenkins )

Good to Have

Experience in application migration to cloud

MUST Have

4-6 years of experience in application software development ( UI stack development )
Sound knowledge of computer science fundamentals
Proven ability to design and implement a complex (scalable and distributed ) application software on linux platform
Hands on any of the language reactjs, Javascript
Expert in software processes and tools ( Agile, CI/CD, Git, Jenkins )

Good to Have