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Flexible Python Finance Jobs (NOW HIRING)

Experience using Python for financial analysis, automation, or reporting workflows Work Location ... be flexible working across time zones when necessary. Travel Requirements As needed travel to ...

Finance Data Lead

San Francisco, CA · Remote

$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 ...

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 ...

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

Lead Strategic Finance Analyst

Providence, RI · On-site +1

$102K - $163K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Strong technical skills with tools such as Excel, SQL, Power BI/Tableau, or Python. * Demonstrated ...

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

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Flexible Python Finance information

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How much do flexible python finance jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for flexible python finance in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

AspectFlexible Python FinanceData Analyst
Required SkillsPython, finance concepts, data analysisExcel, SQL, data visualization
Work EnvironmentFinance firms, trading floors, fintechCorporate, consulting, market research
CertificationsPython certifications, finance coursesNone mandatory, often data analysis certifications

Flexible Python Finance focuses on applying Python skills to finance-related tasks, while Data Analysts primarily analyze data across various industries. Both roles require data handling skills, but Flexible Python Finance emphasizes finance-specific knowledge and programming expertise.

More about Flexible Python Finance jobs
What cities are hiring for Flexible Python Finance jobs? Cities with the most Flexible Python Finance job openings:
What are the most commonly searched types of Python Finance jobs? The most popular types of Python Finance jobs are:
What states have the most Flexible Python Finance jobs? States with the most job openings for Flexible Python Finance jobs include:
Infographic showing various Flexible Python Finance job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
SAS to Python / R Migration Architect

SAS to Python / R Migration Architect

Ignite IT

Suitland, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

The SAS to Python/R Migration Architect is responsible for end-to-end strategy, design, and governance of large-scale analytical and statistical code migrations from SAS to modern open-source ecosystems (Python and R). This role focuses on assessment, architecture, standards, risk management, and validation, working closely with stakeholders and development teams to ensure accuracy, performance, and regulatory fidelity.

This is a hands-on technical leadership role, not just documentation or oversight.

Key Responsibilities

  • Lead enterprise-scale migrations from SAS (Base SAS, PROC SQL, STAT, ETS, MACRO, etc.) to Python and/or R
  • Perform detailed SAS estate assessments, including:
    • Code inventory and dependency mapping
    • Macro complexity analysis
    • Data access patterns (SAS datasets, DBs, flat files)
    • Statistical method equivalency analysis
  • Define target-state architecture for Python/R analytics platforms (libraries, frameworks, environments)
  • Establish migration patterns and standards, including:
    • SAS PROC Python/R library mappings
    • Macro-to-function translation strategies
    • Reusable templates and shared components
  • Design validation and reconciliation frameworks to ensure:
    • Statistical equivalence
    • Numeric tolerances
    • Regulatory and audit compliance
  • Guide performance optimization strategies for large datasets
  • Identify automation opportunities (code scanners, translators, test harnesses)
  • Lead technical reviews and approve migrated code
  • Mentor developers and review complex conversions
  • Communicate migration risks, tradeoffs, and timelines to leadership

Requirements

  • 8+ years of advanced analytics or statistical programming experience
  • 5+ years hands-on SAS development (Base SAS, PROC SQL, MACRO, STAT)
  • Proven experience architecting or leading SAS Python and/or R migrations
  • Deep expertise in:
    • Python (NumPy, Pandas, SciPy, statsmodels, scikit-learn)
    • and/or R (tidyverse, data.table, caret, survival, forecast)
  • Strong understanding of statistical methods parity between SAS and open-source tools
  • Experience with data platforms (SQL databases, cloud storage, data lakes)
  • Familiarity with CI/CD, version control, and testing frameworks for analytics code
Nice to Have
  • Experience in regulated environments (government, healthcare, finance)
  • Prior work modernizing legacy analytics platforms
  • Exposure to cloud analytics stacks (AWS, Azure, GCP)
  • Experience designing automated validation frameworks

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance