

Akraya, Inc.
Senior Data Analyst - LRP Model Automation: 26-01162
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst focused on LRP Model Automation in Santa Clara, CA. The 6-month W2 contract offers $100.00-$107.00/hr. Key skills include expert-level Jupyter Notebooks, Python, Monte Carlo simulations, and Excel LRP experience.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
856
-
๐๏ธ - Date
April 23, 2026
๐ - Duration
More than 6 months
-
๐๏ธ - Location
On-site
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๐ - Contract
W2 Contractor
-
๐ - Security
Unknown
-
๐ - Location detailed
Santa Clara, CA
-
๐ง - Skills detailed
#Automation #SciPy #SQL (Structured Query Language) #Plotly #Python #Matplotlib #Leadership #NumPy #"ETL (Extract #Transform #Load)" #Pandas #Jupyter #Version Control #Data Extraction #Data Analysis #GitHub #Mathematics
Role description
Primary Skills:ย Jupyter Notebooks (expert), Python (expert), Monte Carlo simulations (expert), SQL (proficient), ETL pipelines (proficient)
Contract Type:ย W2
Duration:ย 6 Months with possible extension
Location:ย Santa Clara, CA ()
Pay Range: $100.00-$107.00/hr
#LP
Job Summary:
Seeking an experienced Financial Modelling Engineer to build production financial models using Jupyter Notebooks, implement Monte Carlo simulations, and handle complex Excel-based financial models.
Key Responsibilities:
โข Build production financial models in Jupyter Notebooks, showcasing portfolio links.
โข Implement Monte Carlo simulations in Python, including distribution fitting and output interpretation.
โข Reverse-engineer complex Excel models and translate them into Python with verified accuracy.
โข Develop lightweight ETL/ELT pipelines in Python for data extraction and transformation.
โข Design model version control systems to enable point-in-time model reconstruction and variance analysis.
Must-Have Skills:
โข Hands-on experience building production financial models directly in Jupyter Notebooks. Portfolio / GitHub links required — analysis-only notebooks do not qualify.
โข Proven track record implementing Monte Carlo simulations in Python: distribution fitting, correlated variable sampling, simulation loop design, and P10/P50/P90 output interpretation.
โข Proficiency in core Python modelling stack: NumPy, Pandas, SciPy (stats), and at least one Monte Carlo framework (PyMC, NumPyro, custom simulation engine, or equivalent).
โข Experience with Plotly, Matplotlib, or Bokeh for financial chart types: waterfall bridges, fan charts, tornado charts.
โข Excel LRP / Driver-Based Model Experienceย —ย Mandatory
Industry Experience:
Bachelor's degree in Finance, Economics, Mathematics, or related field; CFA, CIMA, CPA or FP&A certification is a plus.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment.ย Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space.ย We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
Primary Skills:ย Jupyter Notebooks (expert), Python (expert), Monte Carlo simulations (expert), SQL (proficient), ETL pipelines (proficient)
Contract Type:ย W2
Duration:ย 6 Months with possible extension
Location:ย Santa Clara, CA ()
Pay Range: $100.00-$107.00/hr
#LP
Job Summary:
Seeking an experienced Financial Modelling Engineer to build production financial models using Jupyter Notebooks, implement Monte Carlo simulations, and handle complex Excel-based financial models.
Key Responsibilities:
โข Build production financial models in Jupyter Notebooks, showcasing portfolio links.
โข Implement Monte Carlo simulations in Python, including distribution fitting and output interpretation.
โข Reverse-engineer complex Excel models and translate them into Python with verified accuracy.
โข Develop lightweight ETL/ELT pipelines in Python for data extraction and transformation.
โข Design model version control systems to enable point-in-time model reconstruction and variance analysis.
Must-Have Skills:
โข Hands-on experience building production financial models directly in Jupyter Notebooks. Portfolio / GitHub links required — analysis-only notebooks do not qualify.
โข Proven track record implementing Monte Carlo simulations in Python: distribution fitting, correlated variable sampling, simulation loop design, and P10/P50/P90 output interpretation.
โข Proficiency in core Python modelling stack: NumPy, Pandas, SciPy (stats), and at least one Monte Carlo framework (PyMC, NumPyro, custom simulation engine, or equivalent).
โข Experience with Plotly, Matplotlib, or Bokeh for financial chart types: waterfall bridges, fan charts, tornado charts.
โข Excel LRP / Driver-Based Model Experienceย —ย Mandatory
Industry Experience:
Bachelor's degree in Finance, Economics, Mathematics, or related field; CFA, CIMA, CPA or FP&A certification is a plus.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment.ย Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space.ย We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!





