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Python For Finance Jobs in New York (NOW HIRING)

Diverse Lynx Llc

Python FSD

Manhattan, NY

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and ... You''re not just looking for a job; you''re looking to grow your career and make an impact.

Pyramid Consulting, Inc

Python Developer

Elizabeth, NJ

$60 - $65/hr

Immediate need for a talented Python Developer . This is a 11+months contract opportunity with ... Experience working in Financial Services specifically within markets in front office derivatives ...

Winaxis

Lead Python Developer

New York, NY · On-site

$153K - $188K/yr

... the finance sector. - Utilize expertise in Python, PySpark, FastAPI, Pandas, Polars, and Spring Boot to deliver scalable, high-performance solutions. - Apply quantitative engineering skills for ...

Pyramid Consulting, Inc

Python Developer

Bayonne, NJ

$60 - $65/hr

Immediate need for a talented Python Developer . This is a 11+months contract opportunity with ... Experience working in Financial Services specifically within markets in front office derivatives ...

Pyramid Consulting, Inc

Python Developer

Newark, NJ

$60 - $65/hr

Immediate need for a talented Python Developer . This is a 11+months contract opportunity with ... Experience working in Financial Services specifically within markets in front office derivatives ...

Pyramid Consulting, Inc

Python Developer

Hoboken, NJ

$60 - $65/hr

Immediate need for a talented Python Developer . This is a 11+months contract opportunity with ... Experience working in Financial Services specifically within markets in front office derivatives ...

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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 New York are hiring for Python For Finance jobs? Cities in New York with the most Python For Finance job openings:
Python For Finance jobs near you
Senior Software Engineer - Python

Senior Software Engineer - Python

Kunai

New York, NY

Other

Posted 17 hours ago

Job description

Location: NYC, New York - Onsite Work Required

We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. 

Key Responsibilities: 

  • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica. 
  • Design and implement data workflows on Snowflake or comparable cloud data platforms. 
  • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations. 
  • Write efficient, maintainable, and well-tested Python code following object-oriented principles. 
  • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis. 
  • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell. 
  • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency. 
  • Contribute to best practices around code quality, testing, and deployment. 

Required Skills & Experience: 

  • Strong proficiency in Object-Oriented Python development. 
  • Experience designing and executing ETL processes, preferably with Informatica. 
  • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery. 
  • Solid SQL skills for complex query writing and performance optimization. 
  • Proficiency in scripting languages like Shell, Bash, or PowerShell. 
  • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts. 
  • Familiarity with software development best practices, source control, and CI/CD pipelines. 
  • Experience working in Agile environments. 
  • Full working proficiency with English (Written and Verbal) 

Preferred Qualifications: 

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline. 
  • Prior experience in financial services, especially with data reconciliation or risk-related data workflows 

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