Join a full-stack engineering team supporting the Quantitative Equity Group's cloud-native signal generation, backtesting, data, and analytics platforms. This contract role, based in Charlotte, North Carolina, offers a 6+ month engagement to build next-generation quantitative research platforms on AWS. You will collaborate closely with investment business partners and product owners in an Agile environment while gaining direct exposure to global investment trading operations.
Responsibilities
Design, build, and deploy high-performance full-stack applications and analytics tools to support quantitative research and fund management.
Conduct proofs-of-concept (POCs) to validate architectural design patterns and deploy resilient, observable, and secure production systems on AWS.
Work side-by-side with product owners, quantitative researchers, and cross-functional engineers to translate complex investment logic into scalable software.
Ensure high standards across system resilience, observability (monitoring and logging), data security, and automated CI/CD pipelines.
Facilitate and participate in departmental tech talks and knowledge-sharing initiatives to drive modern cloud adoption.
Qualifications
Required
Strong expertise in Python software engineering and data libraries including NumPy, Pandas, Scikit-learn, and Dask.
Experience with Python frameworks and SDKs: Flask, Boto3, Dash.
Hands-on experience with relational and analytical databases: PostgreSQL and AWS Athena.
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Proficiency with data pipelines and ingestion tools: AWS Glue ETL, S3, and data caching strategies.
Proven hands-on experience designing and operating cloud architecture using AWS services including EC2, ECS, AWS Lambda, Step Functions, SNS, and SQS.
Experience with AWS CloudWatch and SageMaker.
Strong grounding in microservices design, RESTful API Gateway implementation, and secure API integration.
Experience developing modern, responsive front-end interfaces using React and/or Dash.
Experience handling web application session states, Okta integrations, and secure authentication flows hosted on AWS.
Hands-on experience with continuous integration and delivery tools, including Bitbucket, Bamboo, Artifactory, and Ansible.
Preferred
Prior experience or strong interest in financial services, asset management, capital markets, or equities trading.
