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Flexible Python Financial Jobs in California (NOW HIRING)

... financial services or alternative asset management experience is a plus Company Benefits ... Flexible working hours * Work remotely * Continuing education, training, conferences * Company ...

Finance Data Lead

San Francisco, CA · On-site

$210K - $250K/yr

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible ... Own financial data workflows end-to-end - from sourcing and transforming raw data (SQL, Python, etc ...

Senior Financial Analyst

Buena Park, CA · On-site

$85K - $100K/yr

Adaptable and willing to work flexible schedules to meet operational needs. * Skilled in analyzing ... Familiar with SQL, Python, data warehousing, and advanced expertise in Microsoft Office tools ...

Finance Manager

Buena Park, CA · On-site

$110K - $150K/yr

With a focus on financial modeling, problem-solving, and supporting strategic initiatives, this ... Adaptable and willing to work flexible schedules to meet operational needs. * Skilled in analyzing ...

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Flexible Python Financial information

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

AspectFlexible Python FinancialData Analyst
Required SkillsPython programming, financial modeling, data analysisExcel, SQL, data visualization, basic statistics
Work EnvironmentFinance firms, investment banks, fintech companiesCorporate, consulting, or tech companies
CertificationsFinancial certifications (CFA, FRM) helpful but not mandatoryNone specific, often data-related certifications

Flexible Python Financial roles focus on applying Python skills to financial data and modeling within finance industries, often requiring financial knowledge. Data Analysts work across various industries analyzing data using tools like Excel and SQL. While both roles involve data analysis, Flexible Python Financial positions emphasize programming and finance expertise, whereas Data Analysts focus on broader data interpretation and reporting.

What are the most commonly searched types of Python Financial jobs in California? The most popular types of Python Financial jobs in California are:
What cities in California are hiring for Flexible Python Financial jobs? Cities in California with the most Flexible Python Financial job openings:

Staff/Senior Python Engineer

Grid Dynamics Holdings

San Ramon, CA • On-site

Full-time

Medical, Dental, Vision

Posted 19 days ago


Job description

We are looking for a Senior/Staff Backend Engineer to own the core services at the heart of the platform - the data-intensive computation layer that turns curated financial and operational data into correct, reproducible, fully traceable results. This is the structured engineering beneath the product: not dashboards, not an LLM wrapper, but the services that do the heavy computation and stand behind every number the platform produces.
You would be responsible for building reusable, configuration-driven computation components, enforcing strong controls and guardrails over automated output, and guaranteeing every result can be reproduced and audited. You provide technical leadership for the backend team and partner with data, AI, and product to translate domain logic into robust, reusable services.
Essential functions
  • Core Computation Services (35%)Own the services that perform the platform's core financial and operational computation
    Build a composable library of reusable computation components driven by configuration
    Produce results that are fully traceable to their source inputs
    Compute the supporting quality and confidence signals around each result
  • Computation & Correctness (20%)Express complex logic as correct, performant, set-based computation over the warehouse
    Guarantee results reconcile and are reproducible
    Own performance and cost of the core services
  • Configuration Runtime (15%)Build the runtime that executes per-domain configuration
    Add new domains and use cases through configuration - never a bespoke code path
    Keep the component library extensible
  • Controls & Auditability (15%)Enforce guardrails over automated output in code
    Build the controls / feature-flag system to scope or disable automated behavior per tenant or feature
    Build audit logging and lineage for end-to-end traceability to source
  • Multi-Cloud & Multi-Tenant (10%)Build for a multi-cloud-ready, multi-tenant-ready, customer-hosted deployment model
    Services that run inside a customer's environment with strong isolation and no egress
  • Technical Leadership (5%)Set patterns, review designs, and mentor the backend team
    Partner with data, AI, and product on service design

Qualifications
Languages & Services
  • Python
  • Production service design & testing
  • Config-driven / rules-engine architectures

Data & Compute
  • SQL (window functions, large joins)
  • Snowflake / PostgreSQL
  • Set-based, reproducible computation

Platform
  • Docker / Kubernetes / Terraform
  • Multi-tenant, customer-hosted deployment
  • Audit logging & lineage
Required Qualifications
Core
  • 8+ years backend engineering (Python / Go / Java or similar), with significant Staff+ time owning complex, data-intensive systems.
  • An passion for correctness, traceability, and testability - "every result is explainable and reproducible" as a requirement.
  • Bachelor's degree in Computer Science, Business, Engineering, or a related field.
Technical Depth
  • Elite SQL and data modeling - window functions, large-scale joins, and rigorous reasoning about correctness and performance.
  • Experience designing configuration-driven, extensible service architectures.
  • Strong system design for reliability, isolation, and reproducibility.

Would be a plus
  • Finance / accounting / analytics domain, or genuine willingness to learn how financial statements are built and reconciled.
  • dbt, Snowflake / PostgreSQL; multi-tenant, customer-hosted deployment; Docker / Kubernetes / Terraform.
  • Exposure to ML / statistical workflows and LLM application patterns - enough to integrate them well.
  • Experience building auditable systems in a regulated environment.

We offer
  • Opportunity to work on cutting-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, vision, dental, etc.
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.