Vice President
3 tygodni temu
- Jira
- Confluence
about-project :
- Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). The MRM function reports directly to the Group Chief Risk and Compliance Officer (GCRCO) ensuring its independence from the model developing and owning areas of the firm.
- MRM are the second line of defence (2LoD) for Model Risk and the CMRO is the global Model Risk Steward for the group and is also accountable for the global operation of the MRM function. MRM teams are based in each region, to ensure local subject matter expertise and to guide, review, and challenge. MRM activity is managed on a global basis as many models are used in multiple locations. This enables MRM to operate consistently and efficiently globally, and to take account of additional local regulatory requirements.
- Infrastructure is a specialist technical role within the Model Risk Management team responsible for delivery of infrastructure and reporting capability used across all geographies, business and functions to support the effective management of model risk.
- The team caters to both strategic and operational aspects of managing model risk and enforces Model Risk Policies through technology across the group. They are responsible for reporting production across Model Risk Management including dashboard developments, data retrieval and quality updates, model inventory reporting and attestation tracking, data visualisation and analytics, Model Risk Management data and systems management, and systems and technology enhancements.
responsibilities :
- Develop the Python codes' library that would be used to create statistical analyses and tests required to assess the quality and performance of the Credit and Market Risk models used within the Bank (with a particular emphasis on Wholesale Credit Risk PD/LGD/EAD Models).
- Critical assessment of the statistical tests that are to be incorporated in the library.
- Preparing the Unit tests and Integration tests necessary to efficiently manage those libraries.
- Improving existing codes and report creation tools.
- Support the enhancements to data flows across systems used in the bank and processes to drive efficiency across the model life cycle.
- Suggest enhancements to processes and reporting to drive efficiency across the model life cycle.
requirements-expected :
- Master's or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering.
- Significant knowledge and experience with Python its main libraries used for data analytics & visualisation (e.g. pandas, scikit-learn, flask, nltk) and should be able to create python libraries.
- Strong understanding of model development or model risk management processes
- Experience with automation projects (e.g. automating the monitoring & validation of credit risk models).
- Experience to be able to identify and implement process improvements.
- Ability to understand complex data and resolve issues in the process of building analytic tools to support users.
- An innovative thinker who understands latest ways of working and can apply these in a flexible way.
- Should be able to work with unstructured data and have a proficiency in NLP.
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
- life insurance
- remote work opportunities
- flexible working time
- integration events
- corporate sports team
- doctor's duty hours in the office
- retirement pension plan
- corporate library
- no dress code
- coffee / tea
- parking space for employees
- leisure zone
- extra social benefits
- employee referral program
- opportunity to obtain permits and licenses
- charity initiatives
- family picnics
- extra leave
- In-office gym
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