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Flexible Python Financial Jobs (NOW HIRING)

... financial services in engineering or technology related role Strong programming skills in Python or ... Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our ...

A working knowledge of SQL or Python and other financial ERP system (e.g., OneStream, Sigma) is ... Flexible Paid Time Off Program, Medical, Dental, Vision, Life Insurance, Disability, and other ...

... flexible scenario and assumption inputs. Close & Reporting Support: * Support month-end close ... SQL, Python, Tableau, Looker a plus. Skills & Competencies: * Strong systems thinking (understands ...

Senior Financial Analyst

Greenville, SC · On-site

$80K - $105K/yr

A working knowledge of SQL or Python and other financial ERP system (e.g., OneStream, Sigma) is ... Flexible Paid Time Off Program, Medical, Dental, Vision, Life Insurance, Disability, and other ...

A working knowledge of SQL or Python and other financial ERP system (e.g., OneStream, Sigma) is ... Flexible Paid Time Off Program, Medical, Dental, Vision, Life Insurance, Disability, and other ...

A working knowledge of SQL or Python and other financial ERP system (e.g., OneStream, Sigma) is ... Flexible Paid Time Off Program, Medical, Dental, Vision, Life Insurance, Disability, and other ...

Financial Program Manager

Washington, DC · On-site

$100K - $150K/yr

... Python, SQL, or data visualization tools; internship or academic project experience in federal ... Flexible spending Account (FSA) and Dependent Care Reimbursement * Company-paid Life Insurance

Experience in SaaS products and corporate environments is a plus. * B2B financial services or asset ... Flexible working hours * Work remotely * Continuing education, training, conferences * Company ...

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Flexible Python Financial information

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$13

$58

$86

How much do flexible python financial jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for flexible python financial 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 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.

More about Flexible Python Financial jobs
What cities are hiring for Flexible Python Financial jobs? Cities with the most Flexible Python Financial job openings:
What are the most commonly searched types of Python Financial jobs? The most popular types of Python Financial jobs are:
What states have the most Flexible Python Financial jobs? States with the most job openings for Flexible Python Financial jobs include:
Infographic showing various Flexible Python Financial job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% 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 15 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