Pracodawca zakończył rekrutację na to ogłoszenie
Who we are looking for
The goal of Enterprise Risk Management (ERM) is to ensure that State Street’s risks are proactively identified, well-understood, and prudently managed in support of our business strategy. As such, ERM provides risk oversight, support, and coordination to ensure consistent identification, measurement and management of all risks possible in providing products and services to our clients.
Why this role is important to us
The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions, that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best.
Join us if making your mark in the financial services industry from day one is a challenge you are up for.
What you will be responsible for
As Quantitative Risk Models Developer you will
Support the US team to conduct implementation and framework development activities for the proprietary Model Risk Management Platform (MRG)
Cooperate with the quantitative teams during preparation and testing of the implementation
Create the production code.
Prepare technical documentation and the implementation plan
Optimize the implementation efforts, while building test cases and assessing the code quality in order to recognize bottlenecks
Support the US team in building and improving reporting capabilities
Present results during workshops with business counterparties and senior management
What we value
These skills will help you succeed in this role
Quick learner
Experience in risk management in banking industry is preferred
Displaying organizational insight & influence
Fostering collaboration & team work
Ability to work in fast paced international environment
Education & Preferred Qualifications
Previous experience in code development at production level
MS in Computer Science or equivalent
3+ years of programming experience with SAS, R, Matlab, SQL, and Python
Good communication skills (verbal and written in English)
Ability to execute on competing priorities in a timely manner
We offer
Employee savings plan
Premium life insurance package
VIP medical package
International operating environment
Language classes
Soft skills trainings
Technical workshops
Development sessions with a mentor
Diversity of opportunities across a range of challenging and highly complex activities
Technical or leadership career pathway
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