GRA TnO Analyst – GDM @

What you need to have to succeed in this role

• Experience in the financial industry involving quantitative finance and/or risk modelling.
• M.Sc./Bachelor holder in Quantitative Finance/Physics/Mathematics or related disciplines.
• Sound understanding of financial mathematics, mathematical analysis, statistics and linear algebra.
• Sound understanding of risk measures. 
• Knowledge of derivative products and their pricing.
• Good knowledge of Python programming language. Other programming skills are a plus.
• Open personality and effective written and oral communication skills in English.
• Nice to have:  Knowledge of Bloomberg, knowledge of key regulatory requirements and bodies, experience in writing and reviewing methodology documents, professional qualifications such as FRM/CQF/PRM.

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Your career opportunity

Global Risk Analytics (GRA) is a global team responsible for development of risk models for broad classes of financial and operational risks at HSBC. We are tasked with setting standards and providing mission-critical, cutting-edge tools to help identify, measure and manage risk, as well as enhance an enterprise-wide compliance across HSBC.

The GRA Traded and Operational (TnO) Risk Analytics team deals with risk models for measurement of trading book risks, treasury and liquidity risks as well as operational risk. Its focus are risk models used for Credit, Interest Rates, Equity and FX asset classes. This includes market risk, credit counterparty risk and stress testing models. The team is scattered across several hubs (in particular London, NY, Paris, Kraków and HK) and holds responsibility for development and First-line-of-Defense validation of these models. The team focuses on models used for risk reporting for the whole HSBC group and cooperates with regional GRA teams on matters related to local risk reporting.

This role is responsible for supporting our GDM team. It consists of robust development and maintenance of risk models and methodologies that are under remit of the GRA TnO team. The role is a senior role in Kraków-based team

,[Identify areas for improvements, automation and enhanced controls for risk models for all asset classes., Assess and validate performance of the models using real world data., Understand features, assumptions and limitations of the models, propose a validation approach, identify target market data and undertake validation., Develop new models (methodology and computing tools) to cover new / identified risks., Articulate our modeling approach to internal and external stakeholders (incl. regulators) in a non-technical language if required., Assist in the on-going application of the models in a business-as-usual risk management framework., Participate in ad hoc projects., ] Requirements: Python Additionally: Training budget, Private healthcare, Flat structure, International projects, Multisport card, Monthly remote work subsidy, Psychological support, Conferences, PPK option, Annual performance based bonus, Integration budget, International environment, Small teams, Employee referral bonus, Mentoring, Workstation reimbursement, Company share purchase plan, Childcare support programme, Bike parking, Playroom, Shower, Canteen, Free coffee, Free beverages, Free parking, In-house trainings, In-house hack days, No dress code, Modern office, Knowledge sharing, Garden, Massage chairs, Kitchen.

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