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Senior Quantitative Analyst at Inabia Software & Consulting Inc.
, , United States -
Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Jupyter Notebook, Pandas, NumPy, SciPy, Monte Carlo Simulations, SQL, Data Pipelines, API Authentication, Error Handling, Git, Modeling, Data Validation, Stakeholder Communication

Industry

Individual and Family Services

Description
Required skills and experience · Strong Python and Jupyter notebook experience with heavy use of Pandas for joining, reshaping, aggregating, and validating multiple data frames. Experience with NumPy and SciPy statistics is highly preferred. · Hands on experience building Monte Carlo simulations including distribution selection and fitting, sampling design, and interpreting P10 P50 P90 results. Experience handling correlated variables is a plus. · Experience converting complex Excel models into code by tracing formulas, documenting assumptions, and validating numeric accuracy. · Ability to build reliable data pipelines in Python including API authentication, pagination, schema normalization, error handling, and incremental refresh. · Strong SQL skills for extracting inputs from data warehouses or billing databases. · Experience with versioning and auditability beyond Git, including structured snapshot storage of inputs and outputs. · Comfort explaining model outputs and variance drivers to non-technical stakeholders and producing business ready commentary. Nice to have · Prior work in FP&A, cloud economics, FinOps, or cost and usage modeling for AWS, Azure, or GCP.
Responsibilities
The role involves heavy data manipulation using Python libraries like Pandas for joining, reshaping, and aggregating data frames. A key responsibility is building reliable data pipelines and extracting inputs using strong SQL skills.