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Python For Finance Jobs (NOW HIRING)

Valueprosite

Python Quantitative Developer

Jersey City, NJ · Hybrid

$52.50 - $72.25/hr

... financial/risk experience to help with system design and implement the core modeling, scenario ... using Python for balance sheet projections, interest rate risk (IRR), liquidity analytics, and ...

Citigroup, Inc.

Senior Python Developer

Irving, TX · On-site

$125K - $188K/yr

Our mission is to serve as a trusted partner to our clients by responsibly providing financial ... Employ Python for automation scripting, large volume data processing, utilizing AI-driven coding ...

EDB

Solutions Engineer(Python/Airflow)

... financial services, media and information technology companies. EDB's data-driven solutions enable ... For more information, visit www.enterprisedb.com **Candidate Note: This role is 100% remote for ...

Virtusa Corporation

Sr.AI ML Developer (Python)

Tampa, FL · On-site

$114K - $154K/yr

... preference for understanding financial services concepts. This role requires demonstrated ... on Python for AI/ML development. * Design and implement robust REST and WebSocket APIs for ...

Virtusa Corporation

Sr.AI ML Developer (Python)

Tampa, FL · On-site

$114K - $154K/yr

... preference for understanding financial services concepts. This role requires demonstrated ... on Python for AI/ML development. * Design and implement robust REST and WebSocket APIs for ...

PTR Global

Python Developer

San Francisco, CA · On-site

$59.25 - $81.50/hr

The team is responsible for modernizing a core mainframe-based financial application by rewriting ... This role is heavily backend-focused, with strong emphasis on Python and PySpark, while also ...

Together AI

Finance Analytics Engineer

San Francisco, CA · On-site

$200K - $240K/yr

You will own the data layer that Finance runs on - building from scratch the models, pipelines, and ... Python for data tooling: automation, data quality frameworks, custom dbt macros or operators.

Together AI

Finance Analytics Engineer

San Francisco, CA · On-site

$200K - $240K/yr

You will own the data layer that Finance runs on - building from scratch the models, pipelines, and ... Python for data tooling: automation, data quality frameworks, custom dbt macros or operators.

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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 the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.
What cities are hiring for Python For Finance jobs? Cities with the most Python For Finance job openings:
What states have the most Python For Finance jobs? States with the most job openings for Python For Finance jobs include:
Python For Finance jobs near you

Python Quantitative Developer

Valueprosite

Jersey City, NJ • Hybrid

$52.50 - $72.25/hr

Other

Posted 5 days ago

Job description

Job Title: Python Quantitative Developer with investment Banking Experience

Location: Pittsburg, PA / Lake Mary, FL/ Jersey City, NJ – Hybrid Role

Long Term Project


Job Description: We are seeking a Sr Python Developers with strong Python skills, analytical thinking, and financial/risk experience to help with system design and implement the core modeling, scenario generation, and analytics components of this enterprise platform.

This role blends quantitative development and software engineering to build scalable tools used by Treasury, Market Risk, and senior decision-makers.

Key Responsibilities

Quantitative Modeling & Scenario Analytics

•                      Develop and implement using Python for balance sheet projections, interest rate risk (IRR), liquidity analytics, and scenario-driven stress testing.

•                      Support both regulatory scenarios (e.g., CCAR, SCB, liquidity stress) and ad hoc “what-if” analyses for Treasury and risk stakeholders.

•                      Build tools for scenario transformations, sensitivity calculations, curve construction, and quantitative stress analytics.

Platform & Data Engineering

•                      Design and maintain high performance Python modules that serve as the computational core of the scenario analysis framework.

•                      Proficient with Pandas, Numpy and other Quant libraries.

•                      Work with large datasets using SQL to integrate financial, balance sheet, and market inputs.

•                      Collaborate on the development of REST APIs that interface with scenario engines, model layers, and user applications.

Front-End & Workflow Integration

•                      Partner with UI developers to support React-based dashboards that present scenario results, visualizations, and analytics to business users.

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