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Python For Finance Jobs in Atlanta, GA (NOW HIRING)

McGuireWoods LLP

Sr. Financial Systems Analyst

Atlanta, GA · On-site +1

$82K - $112K/yr

... for administration and support of the firm's accounting and finance applications. This includes the ... Python experience preferred. * Experience using Python for data extraction, transformation, and ...

McGuireWoods LLP

Sr. Financial Systems Analyst

Atlanta, GA · On-site

$82K - $112K/yr

... for administration and support of the firm's accounting and finance applications. This includes the ... Python experience preferred. * Experience using Python for data extraction, transformation, and ...

McGuireWoods LLP

Sr. Financial Systems Analyst

Atlanta, GA · On-site +1

$82K - $112K/yr

... for administration and support of the firm's accounting and finance applications. This includes the ... Python experience preferred. * Experience using Python for data extraction, transformation, and ...

Dematic

Sr Applied AI Engineer-Finance

Atlanta, GA · On-site

The Applied AI / Machine Learning Engineer will develop and deploy AI solutions for various finance ... using Python and common libraries (e.g., pandas, scikit‑learn, PyTorch, TensorFlow). • ...

Kiongroup

Sr Applied AI Engineer-Finance

Atlanta, GA

$113K - $174K/yr

This role is ideal for someone who can build productionready models, translate business problems ... Strong experience building ML models using Python and common libraries (e.g., pandas, scikitlearn ...

Kiongroup

Sr Applied AI Engineer-Finance

Atlanta, GA · On-site

$113K - $174K/yr

This role is ideal for someone who can build productionready models, translate business problems ... Strong experience building ML models using Python and common libraries (e.g., pandas, scikitlearn ...

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Python For Finance information

See Atlanta, GA salary details

$12

$56

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How much do python for finance jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python for finance in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
Python For Finance jobs near you

Java Angular Python developer

Accord Technologies Inc.

Alpharetta, GA • On-site

Contractor

Posted 3 days ago

Job description

Title: Java Angular Python developer
Location: Alpharetta, GA (100% onsite)
Inperson interview needed for this position.
Role Type: W2 Contract 

Role Overview

We are seeking a highly skilled Full Stack Developer (Java, Angular, Python) to design, develop, and enhance enterprise-scale applications supporting capital markets, risk, and financial services platforms. The candidate will work closely with business, product, and engineering teams to build secure, scalable, and high-performance systems
Key Responsibilities

  • Design, develop, and maintain full-stack applications using Java, Spring Boot, Angular, and Python.

  • Build responsive and user-friendly front-end interfaces using Angular, TypeScript, HTML5, CSS3.

  • Develop backend services using Java (Spring, Microservices) and Python frameworks.

  • Implement RESTful APIs and integrate with internal/external systems.

  • Optimize application performance, scalability, and security.

  • Collaborate with product owners, business analysts, and QA teams to translate requirements into technical solutions.

  • Participate in Agile/Scrum ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives.

  • Write unit tests, integration tests, and support automated CI/CD pipelines.

  • Ensure compliance with enterprise architecture, security, and regulatory standards.

  • Troubleshoot production issues and provide long-term fixes

Required Skills

  • Strong experience with Java (8+), Spring Boot, Microservices architecture.

  • Hands-on experience with Angular (10+), TypeScript, HTML, CSS.

  • Strong proficiency in Python for services, automation, or data processing.

  • Experience building REST APIs and microservices.

  • Experience with SQL / NoSQL databases (Oracle, PostgreSQL, MongoDB).

  • Knowledge of CI/CD tools (Jenkins, Git, Maven, Docker).

  • Experience working in Agile environments.

  • Understanding of cloud platforms (AWS/Azure) is a plus.

  • Strong problem-solving and communication skills.

  • Experience in financial services / capital markets.

  • Exposure to Kafka, Spark, messaging frameworks.

  • Knowledge of security, authentication, authorization (OAuth, JWT).

  • Bachelor’s degree in Computer Science or related field.