What are the responsibilities and job description for the Senior Data Analyst - LRP Model Automation: 26-01162 position at Akraya, Inc.?
Primary Skills: Jupyter Notebooks (expert), Python (expert), Monte Carlo simulations (expert), SQL (proficient), ETL pipelines (proficient)
Contract Type: W2
Duration: 6 Months with possible extension
Location: 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:
- Build production financial models in Jupyter Notebooks, showcasing portfolio links.
- Implement Monte Carlo simulations in Python, including distribution fitting and output interpretation.
- Reverse-engineer complex Excel models and translate them into Python with verified accuracy.
- Develop lightweight ETL/ELT pipelines in Python for data extraction and transformation.
- Design model version control systems to enable point-in-time model reconstruction and variance analysis.
- Hands-on experience building production financial models directly in Jupyter Notebooks. Portfolio / GitHub links required — analysis-only notebooks do not qualify.
- Proven track record implementing Monte Carlo simulations in Python: distribution fitting, correlated variable sampling, simulation loop design, and P10/P50/P90 output interpretation.
- Proficiency in core Python modelling stack: NumPy, Pandas, SciPy (stats), and at least one Monte Carlo framework (PyMC, NumPyro, custom simulation engine, or equivalent).
- Experience with Plotly, Matplotlib, or Bokeh for financial chart types: waterfall bridges, fan charts, tornado charts.
- Excel LRP / Driver-Based Model Experience — Mandatory
Bachelor's degree in Finance, Economics, Mathematics, or related field; CFA, CIMA, CPA or FP&A certification is a plus.
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Salary : $100 - $107