Product Control (PC) undertakes four main activities: P&L, Valuations, Quantitative Analysis and Development Projects.
PC Analytics is a global function with representation in London, Paris, Krakow and Bangalore. It is part of Group Finance with reporting lines to Product Control. PC Analytics aims to ensure that derivatives pricing is at market standards and compliant with regulatory rules. PC Analytics develops a robust framework built mainly on C++ and Python languages to distribute its quantitative solutions in all 40 Global Markets locations.
The Financial Engineering Lead manages a team of three quant developers who are looking after the core functionalities of the Quant Library and the surrounding strategic infrastructure.
responsibilities :
Develop core modules of the quant library in both C++ and Python.
Develop and maintain strategic control framework surrounding Quant library in C#.
Develop GUIs using Python Dash web applications.
Develop APIs using Python FastAPI.
Manage the integration platform (CI/CD) on TeamCity.
Enforce testing culture and coding best practice across all PC Analytics locations.
Provide training to the PC Analytics team and wider Finance in programming languages: C++, Python, SQL and C#.
Ensure that processes are compliant with Finance Instruction Manual (FIM) model development standard as well as FIM governance policy.
requirements-expected :
Master’s degree in Quantitative Finance, a numerical subject (Maths, Physics) or software engineering.
Strong knowledge and practical experience with C++ are required.
Good knowledge of Python.
Knowledge of C# is a significant advantage.
Knowledge of SQL and relational databases.
Experience of working within a quantitative finance space is ideal.
Minimum 5 years of working experience is preferred.
offered :
Competitive salary
Annual performance-based bonus
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
Corporate parties & events
CSR initiatives
Nursery discounts
Financial support with trainings and education
Social fund
Flexible working hours
Free parking
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
