1

Junior Financial Analyst Python Jobs in California

Junior Investment Analyst (Buy-Side) Type: Contract Compensation: $105/hour Location: Remote ... Experience with data analysis tools ( Python , SQL ). Application Process (Takes 20-30 mins to ...

Junior Financial Analyst Category: Finance Main location: United States, California, Los Angeles Alternate Location(s): United States, California, San Diego Position ID:J0226-2508 Employment Type ...

Your Role As a Junior FP&A Analyst, you will support core FP&A execution, including forecasting, variance analysis, financial reporting, and model maintenance, in a fastpaced publiccompany ...

Your Role As a Junior FP&A Analyst, you will support core FP&A execution, including forecasting, variance analysis, financial reporting, and model maintenance, in a fast‑paced public‑company ...

Saalex is seeking a Junior Program Financial Analyst in Corona, CA. Saalex is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management ...

Saalex is seeking a Junior Program Financial Analyst in Corona, CA. Saalex is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management ...

Saalex is seeking a Junior Program Financial Analyst in Corona, CA. Saalex is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management ...

$25/hr

Analysis * Health plan disputes * All other duties as directed by management The pay range for this ... financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits ...

Analyze data from various USG accounting systems and Program Contractor inputs to support training ... Experience preparing financial reports and/or coordinating responses on all requests for program ...

next page

Showing results 1-20

Junior Financial Analyst Python information

What does a Junior Financial Analyst with Python skills do?

A Junior Financial Analyst with Python skills is responsible for supporting financial planning, analysis, and reporting by using Python to automate data collection, clean datasets, and perform financial modeling. They assist senior analysts with forecasting, budgeting, and generating reports, leveraging Python code to increase efficiency and accuracy. This role often involves working with large datasets, creating visualizations, and interpreting financial data to help inform business decisions. Strong analytical skills, attention to detail, and the ability to communicate findings are essential in this position.

What is the difference between Junior Financial Analyst Python vs Junior Data Analyst?

AspectJunior Financial Analyst PythonJunior Data Analyst
Required SkillsFinancial analysis, Python programming, ExcelData analysis, SQL, Excel, basic programming
Work EnvironmentFinance departments, investment firmsBusiness, marketing, tech companies
CertificationsFinancial certifications (e.g., CFA, CPA) often preferredData analysis certifications (e.g., Microsoft Excel, SQL)
Industry UsageFinance, banking, investmentTech, marketing, healthcare

While both roles involve data handling and analysis, Junior Financial Analyst Python focuses on financial data and Python skills within finance environments, whereas Junior Data Analyst has a broader scope across industries with emphasis on data tools and SQL. The choice depends on your industry interest and technical skill focus.

How does a Junior Financial Analyst who uses Python typically collaborate with other teams within a company?

As a Junior Financial Analyst with Python skills, you will often work closely with finance, accounting, and IT teams. Your main responsibilities may include automating data collection, preparing financial reports, and building analytical models, which require frequent communication to understand data sources and business requirements. Collaboration is essential for ensuring that analytical tools and dashboards meet the needs of stakeholders and that financial insights are accurately conveyed. You may also participate in meetings to discuss project goals, share findings, and provide technical support to colleagues who may not be familiar with Python or data analysis techniques.

What are the key skills and qualifications needed to thrive as a Junior Financial Analyst Python, and why are they important?

To thrive as a Junior Financial Analyst Python, you need a solid understanding of finance, basic accounting principles, and proficiency in Python programming, typically supported by a relevant degree such as finance, economics, or computer science. Familiarity with financial modeling tools, Excel, SQL databases, and data visualization libraries like pandas and matplotlib is often required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present insights clearly. These skills are crucial for accurately analyzing financial data, automating tasks, and supporting informed business decisions.
What are the most commonly searched types of Financial Analyst Python jobs in California? The most popular types of Financial Analyst Python jobs in California are:
What job categories do people searching Junior Financial Analyst Python jobs in California look for? The top searched job categories for Junior Financial Analyst Python jobs in California are:
What cities in California are hiring for Junior Financial Analyst Python jobs? Cities in California with the most Junior Financial Analyst Python job openings:

Junior Financial Analyst

Mercor

San Francisco, CA • Remote

$105/hr

Full-time

Posted 12 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.