Python Developer

SA TECHNOLOGIES; New York (NY); On-site; USD 80,000 - 120,000; Full time

Job summary

A technology services company in New York is seeking a specialist to support the implementation of a Python-based forecasting library for the Wholesale Credit business. Candidates should have a strong background in Python for data analysis and risk analytics, with exceptional object-oriented design skills. A graduate degree in a relevant field is required. The role also involves enhancing existing frameworks and working closely with model developers to onboard new models onto the platform.

Qualifications

• Experience with Python in data analysis/big data.
• Exceptional object-oriented design skills.
• Experience with modeling code and parameters.

Responsibilities

• Support the implementation of Python-based forecasting library.
• Enhance and automate existing frameworks.
• Implement and onboard models onto the forecasting platform.

Skills

Python

Data analysis

Risk Analytics programming

Object-oriented design

Analytical skills

Problem solving

Communication

Education

Graduate degree in computer science or a numerate subject

Tools

Pandas

NoSQL/SQL databases

PyTables

R

Subversion

Automated build/test systems

Job description

All SA Technologies requirements are Direct Client Requirements from IT Hiring Managers. We guarantee you the best rate for your skills and performance.

Job Description

Duration: 6 Months

Location: New York, NY

Job Description:

The key objectives are to support the implementation and use of Python based forecasting library and econometric model framework for the Wholesale Credit business. The successful candidate will work with model developers to implement end-to-end calculation framework that includes forecasting, data acquisition, mapping, segmentation tools. Candidate will ideally be someone who has experience with the use of Python in the data analysis/big data and ideally, econometrics spaces particularly has experience with Risk Analytics programming.

Core Responsibilities:

Understand the existing framework and enhance/automate to make it production ready Support the business in the use of our forecasting platform and models on their portfolios Partner with model developers to implement and onboard models onto our platform.

Extension of the end-to-end framework and data analysis environment as required Ensure that the modeling code, parameters are released in a controlled fashion with proper test coverage.

Exceptional object-oriented design skills Experience with and knowledge of Pandas, NoSQL/SQL databases, PyTables, etc Strong analytical and problem solving abilities Good communication and able to work in a team-oriented environment Graduate degree in either computer science or a numerate subject (e.g. engineering, sciences, computing or mathematics)

Experience with/knowledge of Wholesale Credit Products, CCAR, Basel Experience with R and Python interfacing Experience with subversion, automated build/test systems Experience with performance profiling, code coverage and unit testing

Additional Information

All your information will be kept confidential according to EEO guidelines.