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

Extractable

Python Integrations Developer

San Francisco, CA · On-site

$100K - $130K/yr

We are a lean, mission-driven team passionate about the positive impact community financial institutions have on the people they serve. The Role We're looking for a Python Integrations Developer to ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$51.50 - $71/hr

We are a lean, mission-driven team passionate about the positive impact community financial institutions have on the people they serve. The Role We're looking for a Python Integrations Developer to ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

We are a lean, mission-driven team passionate about the positive impact community financial institutions have on the people they serve. The Role We're looking for a Python Integrations Developer to ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

We are a lean, mission-driven team passionate about the positive impact community financial institutions have on the people they serve. The Role We're looking for a Python Integrations Developer to ...

US Bank

Credit Risk Python Architect

San Francisco, CA · On-site

$111K - $131K/yr

Helping the customers and businesses we serve to make better and smarter financial decisions and ... We are seeking a Python developer / solutions architect to drive forward our next-gen model ...

hyve solutions

Financial Analyst

Fremont, CA · On-site

... Python, or Java, and SQL. If you are passionate about leveraging data to drive decision-making and ... Bachelor's degree in Business, Finance or a related field * Minimum 2-5+ years of experience in a ...

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Python Financial information

See San Jose, CA salary details

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$68

$101

How much do python financial jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python financial in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in Python Financial roles, as it is widely used for data analysis, quantitative modeling, and automation of financial tasks. Its extensive libraries like pandas, NumPy, and scikit-learn enable efficient handling of large datasets and complex calculations, making it a valuable skill in the finance industry.

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 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 highly valued.

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 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.

What are popular job titles related to Python Financial jobs in San Jose, CA? For Python Financial jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Python Financial jobs in San Jose, CA look for? The top searched job categories for Python Financial jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Python Financial jobs? Cities near San Jose, CA with the most Python Financial job openings:
Python Financial jobs near you
Infographic showing various Python Financial job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $142,904 per year, or $68.7 per hour.

Python Integrations Developer

Extractable

San Francisco, CA • On-site

$100K - $130K/yr

Full-time

Re-posted 26 days ago

Job description

About Finalytics.ai
Finalytics.ai is a leading fintech company delivering AI-powered personalization solutions purpose-built for credit unions and community financial institutions. Our platform helps member-focused organizations deepen relationships, drive growth, and deliver the right financial products to the right members at the right moment. We are a lean, mission-driven team passionate about the positive impact community financial institutions have on the people they serve.
The Role
We're looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You'll be the go-to person for building, maintaining, and troubleshooting integrations with digital banking platforms (Q2, Banno, Alkami), CRM systems (HubSpot, Salesforce), loan origination and account opening systems, and other vendor APIs.
This is a hands-on technical role with a client-facing dimension. You'll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and support teams, and coordinate with our clients' IT departments to get integrations live. You'll need to be comfortable reading API docs, parsing data formats, and solving the messy real-world problems that come with connecting disparate systems.
What You'll Work On
  • Digital Banking Integrations - Build and maintain connections with Q2, Banno (Jack Henry), Alkami, and other digital banking platforms to ingest member data, account information, and transaction feeds
  • CRM Integration - Own integrations with HubSpot and Salesforce: contact syncing, deal tracking, custom property mapping, and workflow automation
  • Loan Origination & Account Opening - Connect with MeridianLink, Origence, Fiserv, nCino, Blend, Withclutch, and other LOS/OAO platforms to track application funnels and conversion data
  • Client Onboarding - Work with new clients to configure and test integrations during setup, including credential management, field mapping, and data validation
  • Monitoring & Troubleshooting - Build alerting and logging around integration health; diagnose and resolve data sync failures, authentication issues, and schema changes

Key Integrations
  • Digital Banking: Q2, Banno (Jack Henry), Alkami, Digital Insight (NCR Voyix), Fizerv
  • CRM: Hubspot, Salesforce
  • LOS/OAO: MeridianLink, Origence, Fiserv,(OpenNow/Originate), nCino, Blend, Withclutch.
  • Analytics: Google Analytics 4, Google BigQuery, Google Tag Manager, Looker

Requirements
Must Have
  • 3+ years experience building and maintaining third-party API integrations - REST, SOAP, webhooks, file-based data exchange
  • Python proficiency - comfortable writing production Python code; Django experience preferred but not required if you can learn quickly
  • Financial services / digital banking experience - experience with one or more of: Q2, Jack Henry (Banno), Alkami, Bankjoy, Fiserv, or similar platforms
  • API troubleshooting skills - ability to diagnose auth failures, data mapping issues, rate limiting, and schema mismatches using logs, API docs, and tools like Postman
  • Clear communication - you'll coordinate with client IT teams, vendor support, and internal developers; ability to translate technical issues for non-technical stakeholders
  • Self-directed problem solving - vendor docs are often incomplete; you need to be comfortable figuring things out through experimentation, vendor support tickets, and reading source code

Nice to Have
  • HubSpot or Salesforce API experience - contact management, custom properties, workflow automation, deal pipelines
  • LOS/OAO systems - MeridianLink, Origence, nCino, Blend, Withclutch, or similar loan origination/account opening platforms
  • OAuth 2.0 / authentication protocols - implementing auth flows for third-party services
  • Google BigQuery or analytics platforms - writing analytical queries, working with GA4 event data
  • Experience working with credit unions or banks - understanding member data, account structures, and regulatory considerations

What We Value
  • Reliability over cleverness - integrations must work consistently; prefer simple, well-tested solutions over elegant but fragile ones
  • Vendor relationship skills - ability to work effectively with third-party support teams, escalate issues appropriately, and maintain productive relationships
  • Security mindset - handling sensitive financial data means thinking about encryption, access control, credential management, and data retention

Work Style
  • Small engineering team with direct access to product decisions
  • Two-week sprint cycles with regular deployments
  • Mix of building new integrations, maintaining existing ones, and supporting client onboarding
  • Direct interaction with clients during integration setup and troubleshooting
  • AI-assisted development tools available (Claude Code, GitHub Copilot)

Location
This is a remote position. We prefer candidates located in Central US time zones for coverage across our client base, but we're flexible for the right candidate.
What We Offer
  • Competitive salary ($100,000 - $130,000 based on experience)
  • Remote-first culture
  • Opportunity to grow with a scaling fintech company
  • Direct impact on client success and company growth
  • Collaborative, low-ego team environment

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