Python Developer |

Role Name: Python Developer

Location: New York

Start date: 2026-03-02

Rate: $60/hr.

• Ivy League colleges: Columbia/NYU/MIT (Financial Engineering/CS/Engg) or CMU (MSCF) from US, and IIT/NIT/BITS Pilani from India (Essential - Python)
• 3-8 years experience band
• Check for at least some of these terms in the profiles - CFA/FRM/CQF/CMT/CAIA, CECL/CCAR, ICAAP, LCR/NSFR/HQLA, SNE/FR Y-15, CCR/xVA, specialized python libraries like - ? Quantlib/Riskfolio/Polars/Dask/gs-quant/tf-quant-finance
• Check for at least some of these tools and platforms used in some project (optional but good to have) - Moody's Analytics /QRM, Wolters Kluver, AxiomSl, SIMCORP, MX.3, ALADDIN, VERMEG, FIS, BLOOMBERG/OPENBB/ REFINITIV(LSEG)
• Ask the candidates to share their Github portfolios

"As a successful candidate you will be given an opportunity to acquire and develop knowledge from related fields

Collaborate with stakeholders throughout the organization to develop project plans of delivering objects and timelines of model development and implementation Develop risk models in PythonR used by risk teams for regulatory stress testing submission and company risk management Design and build the execution workflow of models to forecast Balance Sheet Fee Revenues Macroeconomic Factors Expense and calculate risk metrics under various stress scenarios sensitivity attribution analysis Coordinate with different functional teams to implement models and coordinate coding testing implementation and documentation of financial models Develop processes and tools to monitor and analyze model performance to ensure the expected application performance levels are achieved Also apply various statistical and analytical tests for validating models and results Develop presentation decks using visual analytics tools and techniques JupyterHubPython Apply data mining data modelling and machine learning techniques to analyze large financial datasets and enhance the model performance

Qualifications

• Undergraduate Degree in a quantitative field computer science financial engineering mathematics data science or engineering
• Experience using one or more programming languages Python
• Excellent written and verbal communication skills for coordination across teams
• Understanding of design development and implementation of mathematical financial risk and ML models
• Relevant work experience in a related field based on education level
• Knowledge of advanced statistical techniques and concepts regression time series analysis statistical tests etc.