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Investment Banking Python Jobs (NOW HIRING)

Vaco LLC

Investment Analyst

Raleigh, NC · Hybrid

... strong investment banking style modeling foundation and a heavy interest in applied AI and ... Python and low-code automation tools Determining compensation for this role (and others) at Vaco ...

SV Tech Systems Inc

Python Developer

New York, NY

$55 - $75.75/hr

Python Developer NYC, NY 6+ months Responsibilities: Work on front, middle or back office platforms ... investment banking experience preferred Ability to explain technical solutions to non-technical ...

Valueprosite

Python Quantitative Developer

Jersey City, NJ · Hybrid

$52.50 - $72.25/hr

Python Quantitative Developer with investment Banking Experience Location: Pittsburg, PA / Lake Mary, FL/ Jersey City, NJ - Hybrid Role Long Term Project We are seeking a Sr Python Developers with ...

New

SonSoft

Python Developer with Banking Domain

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer With Banking Domain Sonsoft, Inc. is a USA based corporation duly organized under ... At least 2+ years of experience in an Investment Bank (or similar) as a Developer * Solid ...

Accord Technologies Inc.

GEN AI Architect

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with ... Proficiency in programming languages such as Python. * Knowledge of AI model deployment and API ...

Visvero, Inc.

Gen AI Architect

New York, NY

Design, develop, and implement Generative AI solutions tailored to investment banking needs ... Proficiency in programming languages such as Python. Knowledge of AI model deployment and API ...

Visvero

Gen AI Architect

Manhattan, NY · On-site

Provenexperience in investment banking or financial services. * Extensivehands-on experience with ... Proficiencyin programming languages such as Python. * Knowledgeof AI model deployment and API ...

Apex Informatics

Python Developer

Houston, TX · On-site

$46.25 - $64/hr

Python Developer Location: Houston, TX ( 3 days onsite 2 days remote) look for nearby Candidates ... Investment Banking. Worked as part of globally distributed teams.

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How much do investment banking python jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for investment banking python 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 are the key skills and qualifications needed to thrive as an Investment Banking Python Developer, and why are they important?

To thrive as an Investment Banking Python Developer, you need strong programming skills in Python, a solid understanding of financial products, and a relevant degree in computer science or finance. Familiarity with databases (such as SQL), financial modeling tools, and version control systems (like Git) is typically required, along with experience in financial software libraries. Excellent problem-solving, attention to detail, and effective communication are vital soft skills in this role. These skills are crucial for building robust financial systems that support critical trading and risk management operations in the fast-paced investment banking environment.

How does Python programming contribute to day-to-day tasks in an investment banking role?

In investment banking, Python is widely used to automate data analysis, build financial models, and streamline reporting processes. Professionals in this role frequently collaborate with traders, analysts, and risk managers to develop tools that enhance decision-making and operational efficiency. Mastery of Python enables team members to quickly prototype solutions, manipulate large datasets, and integrate with financial platforms. This not only increases productivity but also opens up opportunities for involvement in complex projects such as algorithmic trading and quantitative research.

What is Investment Banking Python?

Investment Banking Python refers to the use of the Python programming language within investment banking roles. Professionals in this area use Python for tasks such as financial modeling, data analysis, automating repetitive processes, risk management, and building trading algorithms. Python's simplicity and extensive libraries make it a popular choice for handling large datasets and complex calculations in banking. As the finance industry increasingly relies on technology, Python skills are highly valued in investment banking.

What is the difference between Investment Banking Python vs Quantitative Analyst?

AspectInvestment Banking PythonQuantitative Analyst
Required CredentialsBachelor's in Finance, Economics, or related; Python skillsDegree in Mathematics, Statistics, or Finance; Python proficiency
Work EnvironmentFinancial firms, investment banks, client-facingHedge funds, asset management, research teams
Industry UsageData analysis, automation, financial modelingModel development, risk analysis, algorithmic trading

Investment Banking Python professionals focus on automating financial models and data analysis within investment banks, often working closely with traders and analysts. Quantitative Analysts develop complex models for trading strategies and risk management, typically in hedge funds or asset management firms. While both roles require Python skills and a quantitative background, their work environments and primary objectives differ, with Investment Banking Python roles centered on supporting banking operations and Quantitative Analysts on trading and investment strategies.

Python Backend Developer

SWITS DIGITAL Private Limited

San Ramon, CA • On-site

Full-time

Posted 22 days ago

Job description

Role: Python Backend Developer
Location: San Ramon, CA- Onsite
Domain Investment Banking Portfolio Management
1st round of interview Virtual
2nd round of interview In person Face to Face
Must Have
8 to 15 years of experience
Hands on experience in Python programming
Good analytical and problem solving abilities
Experience in Agile Scrum based project executions
Nice to Have
Knowledge on Cloud App services Load Balancer Application Gateway
Hands on with Cloud services preferably Azure
Experience in NoSQL Database and in memory Database
Experience in Unit testing frameworks
Strong knowledge on CICD using Jenkins Bamboo
Working knowledge on Dockers Kubernetes

Apply