ZipRecruiter

Log In

1

Python For Finance Jobs (NOW HIRING)

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 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 ...

TriosysIT Inc.

Python Developer

Columbus, OH

$47 - $64.75/hr

... financial research and engineering when defining requirements for systems applications. Key ... Must have skills: - Python, JavaScript, SQL, quantitative finance * Quantitative finance * Python

Verition Group LLC

Market Data Finance Analyst

New York, NY · On-site

$80K - $120K/yr

We are seeking a highly motivated Market Data Finance Analyst to join our growing firm. This role ... Proficiency in SQL and/or Python for data analysis and troubleshooting * Strong attention to detail ...

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 ...

Kanor Systems

GenAI Developer

Mclean, VA

$51.50 - $71/hr

Required Qualifications * Strong proficiency in Python for backend and AI/ML development ... Background in financial services, mortgage, or regulated industry environments. * Experience with ...

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 ...

Apple

Finance Data Scientist - Enablement

Cupertino, CA · On-site

$141K - $213K/yr

Transitioning from manual or local processes into to governed, automated workflows in Dataiku SQL and Python fundamentals for Finance analysts No-code/low-code entry points with visual recipes Prompt ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

... for complex (user defined) analytics. He/She will also build Python financial utility library by actively participating in our daily scrums, this candidate will help establish best practices ...

next page

Showing results 1-20

People also search for

All JobsPython For Finance Jobs

Python For Finance information

See salary details

$13

$58

$86

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
Senior Manager, Finance Analytics & AI

Senior Manager, Finance Analytics & AI

Snowflake

Menlo Park, CA • On-site

$128K - $175K/yr

Full-time

Posted 4 days ago

Job description

Job Summary:
Snowflake is a company focused on empowering the era of the agentic enterprise, seeking innovative thinkers to redefine work processes. The Senior Manager for Finance Analytics will lead the development of scalable data products and AI-driven applications, transforming Finance operations and decision-making through data-driven insights.
Responsibilities:
• Define and drive the roadmap for Finance Analytics, aligned to business priorities and long-term data strategy.
• Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives.
• Build and lead a high-performing team
• Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders.
• Establish best practices across data modeling, experimentation, and product development.
• Foster a culture of ownership, speed, and continuous learning.
• Oversee the design, development, and adoption of data products, dashboards, and internal applications used to run Finance.
• Ensure solutions are scalable, reliable, and deeply embedded in business workflows.
• Lead the development of intelligent workflows, such as automation, copilots, agents, and decision-support tools, that increase leverage across Finance.
• Identify high-impact opportunities to apply AI and automation to core financial and operational processes.
• Partner with Data Engineering to ensure high-quality, well-modeled, and governed datasets.
• Establish standards for data quality, documentation, and discoverability.
• Deliver actionable insights and shape strategic decisions through data.
• Act as a thought partner to Finance leadership, bringing a data-driven perspective.
• Identify inefficiencies and drive system- and process-level improvements.
• Implement scalable solutions over one-off analyses.
Qualifications:
Required:
• 8+ years of experience in analytics, data engineering, BI, or related fields, with 2+ years in a people management role.
• Deep expertise in SQL and building scalable, production-grade data models.
• Experience with modern cloud data platforms, such as Snowflake, BigQuery, or Redshift.
• Strong proficiency in Python, or similar programming languages, for data transformation, automation, or application development.
• Experience building data products, not just dashboards, including tools, apps, or workflows used in business operations.
• Demonstrated experience applying AI/LLMs, such as Cortex, OpenAI, Claude, or similar technologies, to real business problems.
• Strong stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience supporting Finance organizations.
Preferred:
• Experience with ERP, financial planning, or business planning systems.
• Background supporting finance, business operations, or analytics teams.
• Familiarity with agile development practices.
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Apply