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Investment Banking Python Jobs (NOW HIRING)

Mercor

Investment Banking Analyst

New York, NY · Remote

$105/hr

Qualifications Must-Have * 1-3 years of experience in investment banking, equity research, or buy ... Experience with data analysis tools ( Python , SQL ). Application Process (Takes 20-30 mins to ...

CIBC

Analyst, Global Investment Banking

Houston, TX

... Python) and workflow automation * Deep understanding of public oil & gas datasets (Enverus, IHS ... Analysis, Investment Banking, Investment Valuation, Mergers and Acquisitions (M&A), Research ...

CIBC

Analyst, Global Investment Banking

Houston, TX · On-site

... Python) and workflow automation * Deep understanding of public oil & gas datasets (Enverus, IHS ... Analysis, Investment Banking, Investment Valuation, Mergers and Acquisitions (M&A), Research ...

Collabera Technologies

Python Developer

Manhattan, NY · On-site

$65 - $67/hr

Investment Banking * Capital Markets, Fixed income trading/risk management * Quantitative research/ Quantitative background The Company offers the following benefits for this position, subject to ...

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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.

Investment Banking Analyst

Mercor

New York, NY • Remote

$105/hr

Full-time

Posted 4 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Junior Investment Analyst (Buy-Side)
Type: Contract
Compensation: $105/hour
Location: Remote
Commitment: 10–20 hours/week

Role Responsibilities

  • Conduct equity and macroeconomic research across sectors to support AI model training.
  • Build and interpret financial models (DCF, comps, scenario analysis) to enhance AI reasoning.
  • Analyze earnings reports, filings, and market data for improved model outputs.
  • Assist in generating investment theses and risk assessments to refine AI-generated outputs.
  • Evaluate AI-generated outputs for financial accuracy and reasoning quality.
  • Collaborate with senior experts to refine model outputs and datasets.

Qualifications

Must-Have

  • 1–3 years of experience in investment banking, equity research, or buy-side roles.
  • Strong understanding of financial statements and valuation techniques.
  • Proficiency in Excel; familiarity with financial modeling.
  • Clear written and verbal communication skills.
  • High attention to detail and analytical rigor.

Preferred

  • CFA Level I/II candidate.
  • Exposure to public equities or asset management.
  • Experience with data analysis tools (Python, SQL).

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.