Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations.
Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse.
We Offer We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firms D&I ambition which is an integral part of our global Conduct and Ethics Standards Opportunity to work in a critical function within the risk organization with a global presence, engaging with local and international colleagues and business parters Learn how the risk organization works, interact with risk managers, risk and pricing modelers Participate in tasks across the breadth of services from front to back, cross team collaboration to learn about FO-data governance process and market data update function Perform daily market data update process, clearing exceptions, altering rules and source mappings as necessary Understand different VaR models and extreme move calculations to assess the impact of updates to market dataset Perform analysis using the VaR engine to quantify impacts of versioned updates to the market data set and project releases Evaluate quality and suitability of existing source data, mappings, and instrument type categorizations and associated rules (including benching decisions) Liaise with source data providers (e.g.
Internal / external sources, Front Office Analysts) as necessary to ensure continued provision of quality data, and arrange support for new market data Seek to identify areas of weakness in processes/systems and ensure that these are captured in the change management system. Identifying, proposing and implementing improvements and efficiencies by focusing on process, data quality and internal control improvements along with activities to drive cost savings.
Liaising with market data and other risk systems IT support to specify and test system improvements Collaborating across the team to work on current book of work items such as data quality issue resolution, front to back source data alignment Undertaking key projects to incorporate bulk new Instruments or asset classes including analyzing the quality and availability of market data Providing continued support for audit, model validation and regulatory response and remediation. Working both independently and in a team
You Offer Understand the value of diversity in the workplace and are dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work. This should be further elaborated on in your application.
Qualifications: Masters degree in the field of mathematics or finance / accounting or engineering Preferable to have additional certification courses like FRM / PRM / CFA.
Experience :Experience in Credit / Market risk (Preferably in the banking sector) Good understanding of Financial Products and Market Risk Management concepts Understanding of financial products across different asset and risk classes, the various risk factors (aka risk types) and the associated market data Experience on working with external data providers such as Bloomberg / Reuters / Markit.
Conceptual understanding of different VaR models and impact on VaR due to market moves. Ability to work on MS Excel and large volumes of data Experience of around 2 years (preferably within risk management or data analysis profile) Knowledge of database concepts and experience querying databases using SQL is added advantage.
Excellent written and verbal communication to allow effective interaction with business partners and colleagues in different regions Basel Guidelines added advantage Excellent analytical and problem solving skills and a curious nature, a desire to understand why things are done Ability to cope up in stress conditions Result oriented, dedicated, hardworking and can work on own initiative and deliver on time with a high level of integrity and flexibility, sense of urgency, attention to detail and quality standards