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Python Developer Finance Jobs in New York, NY (NOW HIRING)

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Role: Python Developer Location: Can sit hybrid 3 times a week in Jersey City or Charlotte ... Understands the impacts of schedule delays on financials, risk, and strategy and can balance the ...

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Python Developer for a right to hire assignment with one of our premier financial services clients in Rutherford, NJ . Responsibilities

Python Developer [Onsite]

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ Requirement: We're seeking an experienced Python ... Familiarity with financial data models (e.g., holdings, transactions, NAVs, tax lots). * Basic ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are serving more than 50 different companies in Financial, Health-care, Insurance and other ... event-driven programming in Python Understanding of the differences between multiple delivery ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are serving more than 50 different companies in Financial, Health-care, Insurance and other ... event-driven programming in Python Understanding of the differences between multiple delivery ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Python Developer for a CONTRACT assignment with one of our premier Financial Services clients in Jersey City, NJ. The position is for a ...

SQL/Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SQL/Python Developer Location: Jersey City, NJ or Dallas, TX (Hybrid - 3 Days Onsite) Duration: 6 ... Experience in financial services domain * Exposure to Risk Management applications * Ability to ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Python server-side backend programming • Understanding of OOPS concepts • Experience in SQL ...

Lead Python Developer

New York, NY · On-site

$153K - $188K/yr

Lead Python Developer - Lead the design, development, and deployment of enterprise-grade applications, primarily in the finance sector. - Utilize expertise in Python, PySpark, FastAPI, Pandas, Polars ...

Scala / Python Developer

New York, NY · On-site

$55 - $75.75/hr

Scala / Python Developer Location: NYC, NY (Onsite from Day 1) Job Type: Contract At least 8+ years ... Financial Services * Investment Management * Hedge Funds

Python Developer

Jersey City, NJ · On-site

$82K - $126K/yr

... Python server-side backend programming • Understanding of OOPS concepts • Experience in SQL ... Overview The Infosys Financial Services unit is a global leader in driving digital transformation ...

Python Developer - NYC, NY

Manhattan, NY · On-site

$55.25 - $76.25/hr

Our client seeks an Python Developer for a 12 Months Project in NYC, NY . Below is the detailed ... You have a strong curiosity about the financial services sector and a desire to create innovative ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Expertise in Python; solid experience in building enterprise applications using Python ... Git * Experience with development of financial applications, ideally related to Risk Management

Senior Python Developer

Jersey City, NJ · On-site

$125K - $130K/yr

... and financial systems. Key responsibilities include writing clean Python code, building and ... Work with cross-functional teams, including data engineers, business users, and other developers ...

Showing results 21-40

Python Developer Finance information

See New York, NY salary details

$14

$64

$94

How much do python developer finance jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python developer finance in New York, NY is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

Is Python still in demand in 2026?

Python developers remain in high demand in 2026, especially in finance, due to Python's versatility, extensive libraries, and use in data analysis, automation, and machine learning. Skills in frameworks like Pandas, NumPy, and knowledge of financial modeling enhance job prospects in this field.

What is a Python developer finance?

A Python Developer in Finance builds and maintains financial applications, automates trading strategies, processes large datasets, and develops risk management tools. They work with technologies like Pandas, NumPy, SQL, and cloud computing to optimize financial operations. Their role often involves developing algorithms, integrating APIs, and ensuring data security. Strong knowledge of financial concepts and industry regulations is essential.

What are the key skills and qualifications needed to thrive as a Python developer finance?

To thrive as a Python Developer Finance, you need strong proficiency in Python programming, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial databases, tools like Pandas and NumPy, and experience using version control systems such as Git are highly valued, with certifications in Python or finance (e.g., CFA) providing an added advantage. Excellent analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate across technical and finance teams. These skills are critical to successfully building robust financial software solutions and ensuring alignment with business objectives in high-stakes environments.

What does a Python developer finance do?

As a Python Developer Finance, you may work on designing and implementing algorithms for risk analysis, creating data pipelines for real-time financial data, or developing automation tools for trading, reporting, and portfolio management. Your daily tasks could include collaborating with data analysts, financial engineers, and business stakeholders to turn requirements into scalable code solutions. You might also optimize existing code for performance and participate in code reviews within agile teams. This role often provides the opportunity to work on high-impact financial systems and continually expand your expertise in both Python development and the finance sector.

What finance jobs require Python?

Finance jobs such as quantitative analyst, financial software developer, risk analyst, and algorithmic trader often require Python skills for data analysis, modeling, automation, and building trading algorithms. Proficiency with libraries like pandas, NumPy, and frameworks such as Jupyter is commonly expected in these roles.
What job categories do people searching Python Developer Finance jobs in New York, NY look for? The top searched job categories for Python Developer Finance jobs in New York, NY are:
Infographic showing various Python Developer Finance job openings in New York, NY as of August 2026, with employment types broken down into 2% Internship, 79% Full Time, and 19% Contract. Highlights an 86% In-person, 6% Hybrid, and 8% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Python Developer

MM International

Jersey City, NJ • On-site

$52.50 - $72.25/hr

Contractor

Re-posted 17 days ago


Job description

Role: Python Developer

Location: Can sit hybrid 3 times a week in Jersey City or Charlotte. Relocates are welcome but there is an onsite interview component

Interview Process:
First round virtual code pair

Second round Onsite Interview
Needs:
Good Python language experience
Job Description:
Develop reusable Python modules and libraries for automation and integration across enterprise tools
Implement software development lifecycle (SDLC) best practices for managing Python code and automation content
Participate in the design, development, and implementation of systems, including technical support and systems programming
Bring 5 or more years of top-tier Python development experience
Evaluate applications and platforms across the organization to identify opportunities for integration and enhancement using Python
Incorporate AI and machine learning libraries into standard Python development practices to improve productivity, consistency, and quality across deliverables and the technology community

5+ years of python coding and object oriented programming.
5+ years working on Flask, Gunicorn, Installing PYPI packages and maintaining python environment
5+ years of using Jupyter/Eclipse/Spyder IDE
 5+ years of working on Linux environments
 5+ years of using SCM – GIT/SVN for code management, Jenkins, Ansible - Automated Code deployment i.e. CI/CD pipeline

Experience with Bash scripting
Experience with Data preparation and basics of Pandas
Good Database skills with SQL/NoSQL commands and queries – SQL Alchemy.
Knowledge on writing web services like SOAP/REST services.
Communication - Speaks clearly, concisely, and knows the audience.
Scheduling - Understands dependencies and the difference between critical path deliverables and those that are not. Understands the impacts of schedule delays on financials, risk, and strategy and can balance the need for escalation with non-impacting schedule misses and escalate appropriately when necessary or manage it independently when escalation is not needed.
Risk Management - Understands risk criteria and always considers risk but is not crippled by risk adversity. Balances the need to act with the need to be risk adverse
Critical Thinking - Has the ability to analyze complex data from multiple sources and objectively make reasoned judgment.
Task Management - Understands the work that needs to get done, the resources completing the work, and aligns tasks to the right people, even if the right person occasionally isn't in that particular role
Strong familiarity with project management software, such as Microsoft Project.
Proven track record of successfully managing multiple projects at various stages of the project life cycle.