ZipRecruiter

Log In

1

Python For Finance Jobs in Lindenhurst, NY (NOW HIRING)

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 ...

E*Pro, Inc.

Python Developer

Lake Success, NY

$55 - $75.75/hr

In addition, our industry expertise and knowledge within financial services, Insurance, Telecom ... For more details please visit our website www.eprocorp.com We have been retained for providing ...

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 ...

E*Pro, Inc.

Java Python Developer

New York, NY

In addition, our industry expertise and knowledge within financial services, Insurance, Telecom ... For more details please visit our website www.epro-tech.com. Excellent hands on skills in Java and ...

E*Pro, Inc.

Java / python Developer

New York, NY · On-site

In addition, our industry expertise and knowledge within financial services, Insurance, Telecom ... For more details please visit our website www.epro-tech.com. We have been retained for providing ...

E*Pro, Inc.

Java / python Developer

New York, NY

In addition, our industry expertise and knowledge within financial services, Insurance, Telecom ... For more details please visit our website www.epro-tech.com. We have been retained for providing ...

E*Pro, Inc.

Java / python Developer

New York, NY · On-site

In addition, our industry expertise and knowledge within financial services, Insurance, Telecom ... For more details please visit our website www.epro-tech.com. We have been retained for providing ...

ION Group

Lead Python Developer, New York

New York, NY · On-site

$153K - $188K/yr

The Role Lab49 is seeking a skilled Python Developer to work on complex and challenging projects that drive transformative change for top-tier financial services clients. The role involves building ...

Ramp

Associate, Strategic Finance

New York, NY · Remote

$104K - $192K/yr

We look for slope over intercept. We care less about where you trained and more about what you've ... Expertise with Looker, SQL, and/or Python * Systems thinking -- you design processes to be reliable ...

next page

Showing results 1-20

All JobsPython For Finance JobsPython For Finance Jobs in Lindenhurst, NY

Python For Finance information

See Lindenhurst, NY salary details

$13

$60

$88

How much do python for finance jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for python for finance in Lindenhurst, NY is $60.40, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $68.61 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 near Lindenhurst, NY are hiring for Python For Finance jobs? Cities near Lindenhurst, NY with the most Python For Finance job openings:
Python For Finance jobs near you
AI Instructor - Specialization in Business & Finance Applications

AI Instructor - Specialization in Business & Finance Applications

Wall Street Prep

New York, NY • On-site

Full-time

Posted 21 days ago

Job description

AI Instructor - Specialization in Business & Finance Applications
About Wall Street Prep
Founded in 2004 by investment bankers, Wall Street Prep (WSP) is a leading provider of professional skills training in financial and valuation modeling. Our mission is to bridge the gap between academia and the real world by equipping finance professionals and students with practical, hands-on skills.
We partner with top-tier investment banks, private equity and investment management firms, Fortune 500 companies, and elite undergraduate and MBA programs. Our training is delivered through engaging in-person classroom sessions and via our industry-leading online learning platform, all designed by experienced finance professionals.
Position Overview
Wall Street Prep is seeking an experienced and enthusiastic AI for Finance Instructor with a strong background in applying artificial intelligence, machine learning, and automation in business and finance settings. As an AI Instructor, you will join our elite team of instructors delivering cutting-edge training to professionals and students eager to master AI tools for real-world decision-making and business transformation.
You will serve as a lead facilitator for immersive training seminars on foundational AI concepts, predictive analytics, generative AI, and the use of AI tools like LLMs, APIs, and Python-based automation-tailored to the business and finance context.
This includes practical instruction on leading AI assistants and enterprise AI platforms such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Rogo, and Shortcut, with a focus on how finance professionals can integrate these tools into research, analysis, and workflow automation.
This is a unique opportunity to share your expertise, refine your teaching and public speaking skills, and help shape how the financial services industry leverages AI.
Key Responsibilities
Deliver live in-person and virtual training seminars to corporate, undergraduate, and MBA clients, including:
  • Financial institutions, consulting firms, technology teams, and corporate finance professionals.
  • Top-tier MBA programs and executive education programs.

Lead instruction in AI and machine learning concepts with a focus on:
  • AI and generative AI fundamentals, including LLMs, embeddings, and transformers.
  • Applied Python for finance, data analysis and visualization techniques, and automation workflows.
  • Predictive analytics (regression, decision trees, random forests).
  • Real-world use cases: fraud detection, churn prediction, stock return modeling, pricing optimization, and more.
  • Demonstrating practical workflows using modern AI assistants and research tools such as ChatGPT, Microsoft Copilot, Claude, Gemini, Perplexity, Rogo, and Shortcut for tasks like investment research, financial analysis, workflow automation, presentation drafting, and knowledge synthesis.

Collaborate on curriculum development, including:
  • Updating and refining training content based on evolving AI applications in finance and business.
  • Creating hands-on case studies that illustrate AI-driven business transformation.
  • Contributing to elective modules in advanced AI integration, optimization, and automation.
  • Designing hands-on exercises that teach participants how to use tools like ChatGPT, Claude, Gemini, and Copilot for tasks such as financial analysis, data interpretation, coding assistance, research workflows, and productivity automation.
  • Provide personalized mentorship through one-on-one tutoring sessions.
  • Complete WSP's Train-the-Trainer Program, a structured professional development initiative for new instructors.

What We Are Looking For
Experience
  • 3+ years of experience in data science, machine learning, or AI implementation, preferably in finance, consulting, or a technology-forward corporate environment.
  • Demonstrated experience building or applying AI solutions in business/financial contexts (e.g., forecasting, automation, investment research, fraud detection).
  • Experience teaching or mentoring (corporate training, workshops, or academic instruction) is highly desirable.
  • Hands-on experience using modern AI assistants and enterprise AI tools (e.g., ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Rogo, Shortcut) within professional workflows is strongly preferred.

Education
  • Bachelor's degree in a technical or quantitative field required (e.g., Computer Science, Data Science, Finance, Engineering); Master's or PhD a plus.

Skills & Passion
  • Practical expertise using leading generative AI tools (ChatGPT, Claude, Gemini, Perplexity) and AI workflow tools (Copilot, Rogo, Shortcut) for research, coding, productivity, and business analysis.
  • Strong Python programming skills and experience with data science libraries (Pandas, scikit-learn, Matplotlib).
  • Knowledge of AI frameworks (OpenAI API, Hugging Face, LangChain, etc.) and enterprise applications (Copilot, chatbots, etc.).
  • Clear understanding of both technical and business-side AI use cases.
  • A passion for teaching, mentoring, and empowering learners with real-world tools.

Availability
  • Willingness to provide approximately 40 training days or more per year, including enhanced availability during the summer months.
  • Willingness to develop curriculum materials related to AI for use in both live and online training programs.
  • The ability to conduct week-long or multi-week seminars is highly desirable.
  • Flexibility to travel domestically and internationally.

Compensation & Benefits
Compensation
  • Highly competitive daily rate.

Benefits
  • All travel and accommodation expenses covered by WSP.
  • Paid professional development through WSP's Train-the-Trainer Program.
  • Opportunities to deepen your expertise in AI, analytics, and financial modeling.
  • Expand your professional network across global finance and corporate sectors.
  • Develop exceptional public speaking and facilitation skills.
  • Join a collaborative and entrepreneurial-minded team.

Equal Opportunity Employer
Wall Street Prep is committed to fostering an inclusive and equitable workplace. We encourage applications from individuals of all backgrounds and are proud to be an equal opportunity employer. We celebrate diversity and strive to create a work environment where everyone feels empowered to be their authentic selves.

Apply