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Python For Finance Jobs in California (NOW HIRING)

Extractable

Python Integrations Developer

San Francisco, CA · On-site

$100K - $130K/yr

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 ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

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 ...

Samaya AI

Product Manager - Finance

Mountain View, CA · Hybrid

$140K - $210K/yr

Role As one of Samaya's Finance Product Managers, you will own the domain strategy that enables ... Handson experience scripting in Python or SQL for data analysis * Prior experience at a fastgrowing ...

Apple

Data Engineer, Operations Finance

Sunnyvale, CA

$146K - $244K/yr

... Python for data pipelines and automation Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as ...

CYNET SYSTEMS

Python Principal Architect

San Jose, CA · On-site

$75 - $80/hr

Experience working in regulated environments such as financial services or cybersecurity preferred ... Define and own technical blueprints for new applications and platforms. * Build scalable systems ...

Prosum Inc.

Sr. Data Engineer

Glendale, CA · On-site

$93.95/hr

Hands-on experience with Python for ETL/ELT and automation * Proven experience building and maintaining enterprise-scale data pipelines * Experience with financial data models (budgeting, forecasting ...

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Python For Finance information

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
What cities in California are hiring for Python For Finance jobs? Cities in California with the most Python For Finance job openings:
Python For Finance jobs near you
Principal Technical Data Analyst - Finance

Principal Technical Data Analyst - Finance

Intuit

Mountain View, CA • On-site

$227K - $307K/yr

Full-time

Posted 27 days ago

Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

65th of 186 rated software companies

Job description

Come join Intuit as a Principal Technical Data Analyst! Intuit is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. 

As a Principal Technical Data Analyst in FP&A Data & Analytics team, you will Identify gaps/opportunities and establish technology vision, direction and strategy for Finance Analytics. The role offers the opportunity to deliver data-driven insights to leaders' with your strong analytical and problem-solving skills.


Responsibilities

As a Principal Technical Data Analyst in FP&A Data & Analytics team, you will Identify gaps/opportunities and establish dashboard technology vision, direction and strategy for Finance Analytics. The role offers the opportunity to deliver data-driven insights to leaders' with your strong analytical and problem-solving skills.

  • Partner with teams across FP&A to understand their analytics needs and come up with a roadmap to deliver end-to-end data solutions
  • Drive customer backed solutions, partnering with cross-functional teams; Own productionalization and adoption.
  • Be abreast of evolving technologies and external conditions to influence and contribute to analytics vision, strategy and roadmap.
  • Build processes to help make the timely data availability, 
  • Mentor and coach junior data analysts
  • Work to build subject matter expertise and finance acumen 

Qualifications

     10+ years of experience working in a data analytics architect role delivering executive dashboards, AI solutions .

         Experience solving hard problems, by working strategically, addressing complex problems and gaps. 

         Leading and making technology decisions that are steeped in clear principles and have significant long-term impact.

         Responsible for building Analytics capabilities and its integration and interaction with other capabilities on the platform to solve for end-to-end use cases.

         Responsible for creating architecture in the domains that aligns with the technology strategy of Intuit.

     Expertise in SQL, Databricks and visualization with Qlik, Tableau or other BI tools,  is a must

     Proficiency with AWS (Redshift, Athena); knowledge of Python, JavaScript;  ETL and data warehouse technologies is required.

         Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence

         The ability to narrate complex stories with data and be concise in the insights and how they drive outcomes with leadership and stakeholders.

         Ability to lead multiple teams and projects simultaneously to meet objectives and deadlines.

         Proactive and inquisitive learner, to seek out and capitalize on opportunities for change that enhance the business.

         Strong organizational skills, time management, portfolio prioritization experience, and accountability required.


         Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field or equivalent work experience


Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $227,000- 307,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $227000 - $307000
Mountain View, CA $227000- $307000Employment Type: Full-Time

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