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Python For Finance Jobs in North Carolina (NOW HIRING)

BC Forward

Python Developer

Charlotte, NC

$65.05/hr

... financial institution. The ideal candidate will have strong experience in Python, Apache Spark ... Advanced proficiency in Python for data engineering and application development. Hands-on ...

New

BC Forward

Senior Python Developer

Charlotte, NC · On-site

$65.05/hr

Expert-level Python for enterprise-scale systems, preferably within Quartz or similar platforms. 5+ years of development experience in a financial firm covering front-to-back risk or trading systems.

Infosys Limited Digital

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

... PYTHON Technical Skills 2 Technology|Big Data - Data Processing|PySpark Overview The Infosys ... digital transformation for financial institutions. We specialize in leveraging advanced ...

Infosys

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Infosys is a global leader in driving digital transformation for financial institutions ... Required : • Experience in end-to-end implementation of projects in Python, especially Python ...

Infosys

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Infosys is a global leader in driving digital transformation for financial institutions. The role of Technology Consultant 2 involves contributing to software application design, coding, and ...

Accord Technologies Inc.

Python developer

Charlotte, NC · On-site

$49 - $67.75/hr

The ideal candidate will be responsible for developing, maintaining, and optimizing scalable applications, leveraging both Python and Java to deliver innovative solutions across our financial, data ...

Infosys

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

... projects in Python, especially Python server-side backend programming Experience in Big data ... digital transformation for financial institutions. We specialize in leveraging advanced ...

Apolis

Python Engineers

Charlotte, NC

$60/hr

JD- Python engineers in capital markets are responsible for developing, maintaining, and improving financial software applications. They leverage Python's capabilities to handle complex calculations ...

Snowrelic Inc

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

The ideal candidate will be responsible for guiding a team of developers, architecting robust data ... Experience working within banking or financial institutions. Preferred, but not required:

MM International

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Role: Python Developer Location: Can sit hybrid 3 times a week in Jersey City or Charlotte ... on financials, risk, and strategy and can balance the need for escalation with non-impacting ...

Infosys

Python AWS Developer

Raleigh, NC · On-site

$48.75 - $67.25/hr

Infosys is a global leader in driving digital transformation for financial institutions, specializing in advanced technologies such as AI and cloud. The Python AWS Developer role involves ...

Open Systems Technologies

Python Engineer

Charlotte, NC · On-site

$150/hr

A financial firm is looking for a Python Engineer to join their team in Charlotte, NC. Compensation: $150-200k Responsibilities: * Develop highly scalable applications in Python framework. * Create ...

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All JobsPython For Finance JobsPython For Finance Jobs in North Carolina

Python For Finance information

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.
What cities in North Carolina are hiring for Python For Finance jobs? Cities in North Carolina with the most Python For Finance job openings:
Python For Finance jobs near you
Infographic showing various Python For Finance job openings in North Carolina as of June 2026, with employment types broken down into 3% As Needed, 8% Full Time, 67% Part Time, 2% Temporary, 19% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

AI/ML Engineer - Python & REST API

Precision Technologies Corp

Charlotte, NC • On-site

Full-time

Posted 3 days ago

Job description

Job Title: AI/ML Engineer – Python & REST API
Location: Charlotte, NC
Employment Type: Full-Time (FTE)
Key Responsibilities
  • Design, develop, and maintain scalable AI/ML models and solutions using Python.
  • Build and integrate RESTful APIs to serve ML models and applications.
  • Collaborate with data scientists, engineers, and product teams to translate business needs into technical solutions.
  • Optimize model performance and ensure robust deployment into production environments.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Document code, processes, and best practices for knowledge sharing and maintainability.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • Hands-on experience with Python for AI/ML applications.
  • Strong experience building and consuming REST APIs.
  • Solid understanding of machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Familiarity with containerization and deployment tools (e.g., Docker, Kubernetes) is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Preferred Qualifications
  • Experience working in financial services or enterprise environments.
  • Familiarity with cloud platforms (AWS, GCP, or Azure).
  • Exposure to MLOps and model lifecycle management tools