Frontend Developer/Analytics

at Invesco

Frontend Developer/Analytics

Invesco

Company

Home

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

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

About Invesco

Founded :

1978

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

Similar jobs

Frontend developer

at Zamp

Agency job

via KPB Consultants India by Kanak Jain

Gurugram

3 - 8 yrs

₹15L - ₹15L / yr

Project Management

Project delivery

GitHub

Docker

Kubernetes

+8 more

ZAMP

Job Description : DevOps Engineer

Role: DevOpsEngineer

Company: Zamp (https://www.zamp.finance/)

LinkedIn: https://www.linkedin.com/company/zampfintech/

Location: Gurgaon

Salary: Upto 20 LPA

Experience: 3-6 years

Employees: 20+

Funding: $25 Mn

Roles & Responsibilities:

We are building a global banking stack and our mission is to provide a seamless and borderless experience across banking, payment and credit services, leveraging the best of banking, fintech and crypto rails. To execute on the mission, we are systematically investing in product innovation across a multitude of banking services – cards/non-cards payments, credit, crypto payments, custody, integrations.

Your primary role will be to take a lead in automating the deployment of applications on our public cloud platform, as well as designing, developing, testing and supporting custom solutions. You’ll work closely with our internal stakeholders to help build out various integrations between systems using APIs.

Day to Day Tasks:

Building and setting up new development tools and infrastructure

Understanding the needs of stakeholders and conveying this to developers

Working on ways to automate and improve development and release processes

Testing and examining code written by others and analyzing results

Ensuring that systems are safe and secure against cybersecurity threats

Identifying technical problems and developing software updates and ‘fixes’

Working with software developers and software engineers to ensure that development follows established processes and works as intended

Planning out projects and being involved in project management decisions

This role may be a good fit if you:

Have the ability to continuously learn and make choices with minimal supervision

Have Curiosity - Bring fresh ideas for scaling and security edge cases

Strong awareness of security considerations and security tools used to integrate with the build pipeline covering OWASP top 10

Requirements

Must Have Qualifications:

Proven experience in being responsible for delivering and scaling projects

Cloud Services: GCP / Azure

CI/CD pipelining: Github

Programming/Scripting: Python/ Go/ Bash

Containers: Docker/Kubernetes / K8 / GKE (advanced)

3+ years of experience in a related role