As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. 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, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day!

Job Description

Duties:

• Bring ML and AI ideas within asset management to the table. Ideate, collaborate with asset managers and your team to transform ideas into tools and systems.
• Perform machine learning/ artificial intelligence/statistical analysis methods, such as deep learning, natural language processing, classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, & validation methods.
• Analyze and model structured and unstructured data using advanced machine learning methods and implement algorithms and software needed to perform analyses.
• Perform ad-hoc analysis on new datasets and present results in a clear manner.
• Perform data analysis, generate and test working hypotheses, prepare and analyze historical data to identify patterns.
• Collaborate with design thinking approach to ideate with product owners on ML solutions built for Invesco asset managers.
• Work with data engineers and ML engineers to move models into ML pipelines for automations.

Requirements:

• Must have a Master’s degree in Data Science, Analytics, Statistics or related quantitative field.
• Must have 3 years of experience in positions performing statistical or quantitative analysis performing/utilizing the following:
  • Applying statistical skills, such as probability distributions, statistical testing, and regression.
  • Building applications and systems using principles of Object-Oriented Programming and System Design.
  • Python, R, and SQL to perform data manipulation for formatting, re-structuring, validation.
  • Data Science tools ecosystem, including Pandas, Numpy, Scikit learn, Jupyter, PyTorch, NLTK, and Spacy.
  • Machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Tree and Forests, Gradient Descent, Linear/ Integer Programming and Optimization Techniques.
  • SQL, DDL and DML for working with tabular databases and schemas to build custom data infrastructure through data models and pipelines.
  • Development and Command line tools (bash and zsh).

Work experience must include use of the following:

• Deep learning techniques transformers, CNNs.
• Visualization tools: Tableau, Matplolib or Plotly, and Streamlit
• CI/CD through Git and Docker Containers
• BitBucket and VSCode
• Atlassian tools: Jira and Confluence.
• AWS ML services: SageMaker, API gateways, AWS Glue, Athena, S3 buckets.

Position may be eligible to work hybrid/remotely but is based out of and reports to Invesco offices in Atlanta, GA. Must be available to travel to Atlanta, GA regularly for meetings and reviews with manager and project teams within 24-hours’ notice.

Apply online or email resume to: Niamh McNamee, Global Mobility Specialist, Niamh.McNamee@invesco.com

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Full Time / Part Time

Worker Type

Job Exempt (Yes / 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.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.