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AWS Python ( Quantitative research & Equities)
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Posted on: Oct 23, 2026
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Charlotte, North Carolina
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Onsite
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Full-time
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Job Title :
AWS Python ( Quantitative research & Equities)
Job Type :
Full-Time
Job Location :
Charlotte North Carolina United States
Remote :
No
Job Description :
Job Description
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Job Title: AWS Python Full Stack Developer ( Quantitative research & Equities)
\nWork Location: Charlotte, NC (Hybrid 3 days a week)
\nWork Arrangement: Onsite
\nApplication Deadline: Applications are accepted on an ongoing basis until the position is filled.
\nJob Summary
\nSkill Required:-
\nPython Development
\nAWS Cloud E:-ngineering
\nServerless Architecture
\nCI/CD & DevOps
\nData Engineering
\nReact/Dash
\nInvestment Domain Knowledge
\nResponsibilities
\nIn today’s world data and data analytics is critical to all investment systems supporting front, middle and back office. In this role you will be working as part of a full stack team that supports QEG’s cloud enabled signal generation, back testing, data, and analytics platforms. These platforms are used to manage QEG’s active, factor and alternate strategy funds. You will also learn how the global investment industry and primary market trading works while working with complex and modern technologies in a truly global organization. If you are looking for a challenge and want hands-on experience with exciting, cloud technologies and AWS services as well as work closely with highly talented IT individuals, business partners to build and increase investment acumen, this is the job for you. We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud. In this role, you will work within a full stack team alongside our Business Partners and Product Owners and an extremely motivated team of developers committed to working in an Agile environment. You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production. You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks. Ideal candidate will have a strong focus on delivering code that is observable, resilient, and secure.
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Qualifications
\nAWS Cloud & DevOps: Highly Skilled in Python (NumPy, Pandas, scikit-learn, Dash, Dask, Flask, Boto3, etc.) Python Software development experience Experience building & supporting AWS architecture and using AWS services like EC2, CloudWatch, ECS, Sage Maker, ECS, Steps Functions, Lambda, Postgres Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Artifactory, Ansible Front-End Development: Experience with developing web app in Dash, React, session management, okta & hosting in AWS Experience with optimized data architecture, data pipelines, Glue ETL, S3, Postgres, Athena (this is a plus), Caching Microservices design & orchestration Serverless architecture using AWS Lambda, SNS, SQS. API Gateway implementation and secure API design. Knowledge of Investment domain specifically Equities is a plus.
\nNLB Services is an
\nEqual Opportunity Employer. All qualified applicants will receive consideration
\nwithout regard to any legally protected characteristic, including disability
\nand protected veteran status. For recruitment accommodations, contact your
\nrecruiter or
\nReasonable Accommodation
\nNLB Services provides reasonable accommodations during the recruitment process as required by law. Applicants requiring an accommodation due to a disability, pregnancy-related limitation, or sincerely held religious belief, practice or observance may contact their recruiter or email
\nBenefits
\nBased on employment status and assignment, eligible employees may receive benefits, such as Medical, Dental and Vision Insurance, Health Insurance, Disability Insurance, etc. Eligibility and benefit terms vary by assignment.
\nOther Important Terms
\nApplicants must be legally authorized to work in the United States.
\nAny employment offer may be contingent upon job-related screening, employment eligibility verification and other requirements permitted by applicable law.
\nFollowing a conditional offer of employment, candidates may be required to complete job-related background screening, which may include criminal history checks and/or drug testing, as applicable and permitted by federal, state, and local law.
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Position Details
Posted:
Oct 23, 2026
Reference Number:
d6bbb7bd63b89b3e
Employment:
Full-time
City:
Charlotte
Job Origin:
ziprecruiter
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