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Python Financial Jobs in San Diego, CA (NOW HIRING)

FP&A Advise Senior Consultant

San Diego, CA · On-site

$123K/yr

Insurance finance leaders today face disruption from artificial intelligence, market volatility ... Python, or Alteryx based data prep/automation Ability to build and sustain professional ...

Help Desk Technician

San Diego, CA · On-site

$21.25 - $28.75/hr

... Python, PowerShell, or Bash) even AI-assisted Company : C2 Financial is a mortgage advisor and consultant. Founded in 2007, the company is headquartered in San Diego, USA, with a team of 501-1000 ...

Help Desk Technician

San Diego, CA · On-site

$22 - $25/hr

About C2 Financial C2 Financial is one of the nation's top-ranked mortgage brokerages, with a 30 ... Light scripting (Python, PowerShell, or Bash) even AI-assisted This is a full-time office-based ...

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Python Financial information

See San Diego, CA salary details

$14

$62

$91

How much do python financial jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python financial in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 per hour, depending on experience, location, and employer.

What is a Python Financial?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What do Python Financial professionals do?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What are the key skills and qualifications needed to thrive in the Python Financial position?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being essential.

What are popular job titles related to Python Financial jobs in San Diego, CA?

For Python Financial jobs in San Diego, CA, the most frequently searched job titles are:

What cities near San Diego, CA are hiring for Python Financial jobs?

Cities near San Diego, CA with the most Python Financial job openings:

Infographic showing various Python Financial job openings in San Diego, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,457 per year, or $62.2 per hour.

Financial Analyst III, LSG Digital Finance

Thermo Fisher Scientific

Carlsbad, CA • On-site

$83K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 430 frontline employees who took The Breakroom Quiz

171st of 546 rated manufacturers


Job description

Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As a Financial Analyst III within LSG Digital Finance, you will support the FP&A Engagement team and help shape the future of digital finance. You will partner with Finance and technical teams to deliver innovative analytics, reporting, and planning solutions across Spend, P&L, and Measured Cash Flow.
This role offers a unique opportunity to combine finance, data, technology, and change leadership, turning business needs into scalable digital solutions that improve decision-making and user experience.
Join the team at Thermo Fisher Scientific and help advance our mission to enable our customers to make the world healthier, cleaner, and safer.
Responsibilities
  • Partner with FP&A and Spend teams to understand business needs and provide functional support for business intelligence and analytics tools.
  • Collaborate with Finance and technical Enablement teams to design and deliver standardized, scalable finance solutions.
  • Support change management, communications, and training (CC&T) activities to drive successful implementation and sustained adoption of new tools and capabilities.
  • Ensure data integrity across financial dashboards, reports, key performance indicators, and analytics.
  • Translate finance requirements into clear technical specifications, wireframes, and user stories for development teams.
  • Develop user documentation, training materials, and implementation resources.
  • Assess data readiness, validate data quality, and support user acceptance testing for new features and enhancements.
  • Troubleshoot user, system, and data issues; coordinate resolution with technical teams and communicate progress to stakeholders.
  • Gather user feedback and recommend enhancements that improve usability, consistency, scalability, and business value.
  • Use approved generative AI tools and Codex, where appropriate, to accelerate requirements drafting, documentation, user communications, SQL/Python review, test-case development, issue analysis, data validation, and repeatable product support activities.
  • Identify and pilot practical opportunities to use AI, Codex, automation, and reusable workflows to reduce manual effort, improve product support, strengthen adoption tracking, accelerate documentation, enhance user enablement, and scale digital finance capabilities.

Requirements
Core competencies:
  • Bachelor's degree in Data Analytics, Computer Science, Finance, Business Administration, or a related field.
  • Strong verbal and written communication skills, with the ability to present complex information clearly and concisely.
  • Ability to translate technical concepts for finance and business audiences.
  • Strong project management and organizational skills, with experience supporting the implementation and adoption of new tools and processes.
  • Proven ability to collaborate effectively across functions and within a matrixed organization.
  • High attention to detail and a consistent track record of delivering high-quality work in a deadline-driven environment.

Technical skills:
  • Basic to intermediate SQL experience preferred, or willingness to develop data querying skills.
  • Experience with Databricks, Python, cloud-based data tools, Git-based workflows, or AI-assisted development tools such as Codex preferred but not required.
  • Familiarity with agile product delivery, Jira, user stories, acceptance criteria, scrum ceremonies, testing, release readiness, or digital product support preferred.
  • Curiosity and willingness to learn new digital, analytics, and AI-enabled finance capabilities.
  • 3+ years' experience in finance or data-focused roles involving business intelligence, analytics, planning, forecasting, and reporting.
  • Understanding of data orchestration, refresh scheduling, performance monitoring, and issue resolution.
  • Proficiency in Power BI and Excel. React is preferred but not required.
  • Experience with Thermo Fisher financial tools, including CMR and PLN, is preferred.
  • Travel: <5% domestic/international travel required

Compensation and Benefits
The salary range estimated for this position based in California is $83,300.00-$125,000.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs
  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement
  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
  • Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

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