Lead AI Technologist

Reposted 2 Days Ago
Be an Early Applicant
Chicago, IL, USA
In-Office
140K-140K Annually
Mid level
Fintech • Software • Financial Services
The Role
Lead the development and execution of an AI adoption roadmap, manage AI tools, train staff, and conduct machine learning research for client solutions.
Summary Generated by Built In

Job Description

Calamos Advisors LLC has an opening for Lead AI Technologist (formerly Data Scientist) in Chicago, Illinois. Lead the development, management, and execution of a firm-wide AI adoption roadmap in conjunction with IT and the AI Advisory Council. Partner with IT to build and maintain a portfolio of AI-powered tools focusing on Operational Efficiency improvements enterprise-wide. Act as a technical expert in AI by understanding, developing, and experimenting with neural networks architectures, fine-tuning Large Language Models (LLMs), and working closely with AI vendors to ensure the firm is using AI responsibly and safely. Assist in the development of AI education and training materials, as well as conduct large group and one-on-one training sessions for associates focused primarily on prompt engineering. Research, develop, and deploy traditional supervised and unsupervised machine learning algorithms as solutions for client retention, opportunity targeting, and general client behavioral modeling. Serve as a conduit between Data Science and the Quantitative Research group to assist with projects and tasks related to machine learning for financial and risk modeling. Perform general support for Data Science team through statistical analysis and modeling, data wrangling, etc. as required.

Job Requirements

Position requires a Master’s degree in Data Science, Industrial Engineering, Econometrics, Math, Physics, or related and 3 years of related work experience.

Must also have work or academic experience in:

  • Large Language Models (LLMs), Retrieval Augmented Generation (RAG) pipelines, vector databases, indexing methodologies, transfer learning, fine-tuning, and Prompt-Engineering;
  • Explaining AI-related topics to senior executives and other non-technical associates in group and one-on-one settings;
  • Developing and deploying traditional machine learning models for uses specific to the financial services industry such as quant/risk modeling;
  • Performing statistical analysis and developing machine learning modeling using customer data and financial industry vendor data or the purposes of sales forecasting, client retention, and other distribution related objectives;
  • Performing a variety of foundational data science subjects including statistical analysis and modeling, data wrangling and cleaning, and data visualization using Python or PowerBI; and
  • Python, SQL, and Spark in Databricks.

Please submit resume online through this site https://www.calamos.com/.

SALARY: $140,000.00 per year


Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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The Company
HQ: Naperville, Illinois
455 Employees
Year Founded: 1977

What We Do

Calamos is a diversified, global asset and wealth management firm offering a wide range of innovative investment strategies. As one of the top liquid alternative asset managers in the world, Calamos maintains dedicated investment teams across all asset classes, with global research capabilities and access to specialized private and public markets. Calamos offers investment strategies and personal wealth management solutions through separately managed portfolios, mutual funds, ETFs, closed-end funds, private funds, and UCITS funds. Clients include major corporations, pension funds, endowments, foundations, and individuals, as well as the financial advisors and consultants who serve them. Headquartered in the Chicago metropolitan area (with offices in both Naperville and Fulton Market in Chicago), the firm also maintains offices in New York, San Francisco, Milwaukee, Portland, and the Miami area.

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