Lead Python Developer - Data-Driven Solutions

A2G Consulting BV (A2G Technologies) • Netherlands

Visa Sponsorship

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AI Summary

We are looking for a talented Python Developer to build and support data-driven solutions with a focus on risk and data management. The role will involve developing robust Python applications, handling large datasets, and supporting credit risk models in a collaborative environment. Key responsibilities include working on data using SQL and Python libraries, implementing credit risk models, and ensuring code quality through testing and CI/CD practices.

Key Highlights

Develop and maintain applications using Python

Work with data using SQL and Python libraries (NumPy, Pandas)

Support implementation of credit risk models (PD, EAD, LGD, RAROC)

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Key Responsibilities

Develop and maintain applications using Python

Work with data using SQL and Python libraries (NumPy, Pandas)

Support implementation of credit risk models (PD, EAD, LGD, RAROC)

Apply software engineering best practices and design principles

Write clean, testable, and maintainable code

Ensure code quality through testing and CI/CD practices

Technical Skills Required

Python SQL NumPy Pandas

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Benefits & Perks

20 days of holiday per year

Encourage Personal Development - Certification (Certification Charges reimbursed)

Income Tax Return Filing

Visa Sponsorship for Candidate & Dependants

Possibility of bonus

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Nice to Have

Knowledge of credit risk concepts (PD, EAD, LGD, RAROC)

Experience in data management and model implementation

Background in financial services or regulated environments

Job Description

Contract: 12 months (subject to extension).

Location: Amsterdam, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 6-8 years.

Hybrid: 2 days Work from Home 3 days Work from Office

Your Profile & DNA:

We are looking for a talented Python Developer to build and support data-driven solutions with a focus on risk and data management. You will work on developing robust Python applications, handling large datasets, and supporting credit risk models and data processes in a collaborative environment.

Roles & Responsibilities

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