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

PTR Global

Security Engineer- Python

Alpharetta, GA

$75 - $80/hr

Python Software Developer Location: Alpharetta, Georgia Duration: Contract Job ID: 177231 Job ... for us as part of an application, interview, or selection process. * Provide sensitive financial ...

Infosys

Gen AI and Agentic AI Engineer

Alpharetta, GA · On-site

Infosys is a global leader in driving digital transformation for financial institutions ... Required : • Strong proficiency in Python for AI/ML and data engineering • Hands-on experience ...

US Bank

Credit Risk Python Architect

Atlanta, GA · On-site

$111K - $131K/yr

Helping the customers and businesses we serve to make better and smarter financial decisions and ... The Credit Model Ops Orchestration and Solutions team is responsible for design and deployment of ...

Infosys

Gen AI and Agentic AI Engineer

Alpharetta, GA · On-site

Job Summary : Infosys is a global leader in driving digital transformation for financial ... Required : • Strong proficiency in Python for AI/ML and data engineering • Hands-on experience ...

Career Renew

Strategy and Analytics, Credit

Atlanta, GA · On-site +1

$180K - $220K/yr

... at financial institutions. * Work with Python and Jupyter notebooks to perform rigorous data ... or Python for data analysis. (Mandatory) Why candidates should join * * Market Leader: We ...

Infosys

Gen AI and Agentic AI Engineer

Alpharetta, GA · On-site

$82K - $107K/yr

Required Skill and Experience Strong proficiency in Python for AI/ML and data engineering Hands-on ... Overview The Infosys Financial Services unit is a global leader in driving digital transformation ...

OneTrust

Senior Principal Data Analyst

Atlanta, GA

$82K - $104K/yr

Partner with business leaders in product, finance, marketing, and/or customer experience to uncover ... Advanced experience with SQL and Python for data analysis - strong need for product analytics ...

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Python For Finance information

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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

Full Stack Developer (.NET + Python + Angular) With AI

MphasiS Corporation USA

Alpharetta, GA

$120K - $130K/yr

Other

Posted 10 days ago

Job description

Job Title: Full Stack Developer (.NET + Python + Angular) With AI

Location: GA Alpharetta

Experience: 5-7 years

Salary: $120K - $130K

Job Summary:

We are seeking a highly skilled Full Stack Developer with strong expertise in .NET and Python, and working knowledge of Angular. The ideal candidate should have experience in Banking and Wealth Management (WM) domains, contributing to scalable, high-performance applications.

Key Responsibilities:

  • Design, develop, and maintain applications using .NET (C# / .NET Core) and Python with AI/LLM
  • Build and integrate RESTful APIs and microservices / Fast API Services
  • Develop and enhance front-end components using Angular (good to have)
  • Work on data processing, automation, and backend services using Python
  • Collaborate with cross-functional teams (business, QA, DevOps)
  • Ensure code quality, security, and performance optimization
  • Participate in system design and architecture discussions and present design for applications.
  • Good hand on experience in Python with LLM Integrations and Agents developments.

Required Skills:

  • Strong hands-on experience with .NET Framework / .NET Core and C#
  • Solid expertise in Python development (scripting, APIs, data workflows)
  • Solid hands-on experience in Python & AI Agents implementations / LLM - Open AI Integrations
  • Experience in API development, microservices architecture
  • Proficiency in SQL / relational databases
  • Good understanding of SDLC, Agile methodologies and Spec Driven Development

Good to Have:

  • Experience with Angular (2+ versions)
  • Knowledge of cloud platforms (Azure/AWS/Google Cloud Platform) Private Cloud Deployment
  • Familiarity with CI/CD pipelines and DevOps practices

Domain Experience:

  • Banking and Wealth Management (WM) domain knowledge is preferred
  • Understanding of financial systems, transactions, and regulatory requirements

Soft Skills:

  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities

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