Overview
Title: Senior Financial Engineer
Location: Kraków
Work arrangement: Hybrid (4 days remote)
Contract type: UoP/B2B
Length: 01/08/2025 - 31/12/2025
Level: Senior
Recruitment process: online
The client is a leading global financial institution with a strong international presence, offering a wide range of banking and financial services. With a focus on innovation, compliance, and sustainable finance, the organization supports millions of customers worldwide. It fosters a diverse and inclusive work culture and provides employees with opportunities to develop their careers in a dynamic and globally connected environment.
Responsibilities
- Designing, building, and implementing the GRA quantitative library.
- Creating a development environment that is user-friendly, robust, and fully reusable.
- Reducing the time required to develop new models within GRA.
- Collaborating closely with GRA Quant Analysts, Risk IT, Transformation, and Front Office teams to create synergies across departments.
- Implementing software in line with best practices and regulatory requirements.
- Ensuring compliance with FIM and other applicable audit and regulatory standards.
- Maintaining a focus on process optimization (e.g., automation, outsourcing, centralization).
- Reducing EUC (End-User Computing) tools within the agreed timeframe.
- Escalating issues with appropriate action plans.
Requirements
- Bachelor’s or Master’s degree in Mathematics, Computer Science, or a related quantitative field.
- Advanced experience in application and software development.
- Knowledge of finance, particularly quantitative finance.
- Experience in risk or financial analytics.
- Solid understanding of regulatory and audit requirements.
- Experience in collaborating with internal and external stakeholders (Business, Risk, Audit, Compliance, Regulators).
- Strong proficiency in Python programming.
- Knowledge of object-oriented programming, software architecture, functional programming, and algorithms.
- Familiarity with the software development lifecycle and methodologies.
- Experience with PySpark, SQL, and both relational and NoSQL databases.
- Familiarity with REST, gRPC, Apache Beam, Docker, and Kubernetes is a plus.
- Knowledge of C++ is an additional asset.
- Understanding of machine learning fundamentals is also advantageous.
About Antal
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