About the job Senior Quantitative Business Analyst
Hybrid position
Minimum requirements:
- Minimum of 4 years relevant, quantitative, risk and business analysis experience
- Financial markets knowledge is a MUST
- Markets related experience
- Relevant Investment Banking experience
- Experience in working with relevant systems (technical background will be beneficial)
- Relevant degree
- Post-graduate qualification in Mathematical Finance or another quantitative discipline
- Post-graduate qualification in Mathematical Finance or another quantitative/related discipline is required, or equivalent work experience and technical training
- FRM, PRM, ACI Dealing Certificate, CFA or related risk or quantitative international certification would be beneficial
- Experience in designing and implementing integrated solutions (i.e., good understanding of systems integration) Experience in designing, testing and configuring quantitative systems in Capital Markets (Market Risk, Credit Risk, XVA, etc.)
- Working knowledge of SQL and ability to analyse data
- Multi asset class, and trade life cycle knowledge would be beneficial
- Business process modelling and design capabilities
- Ability to work with data: understanding of data models and ability to validate data flows between and within systems
- Attention to detail, but also the ability to see the big picture and understand broader impact
- Good communication skills and the ability to work with difficult people
- Self-starter
- Problem-solving and analytical skills
- Communication and planning skills
- Assertiveness and persistence are required to be effective in the front office environment
- Strong awareness and interest in the financial markets
Responsibilities: - Constructing and/or critically analysing financial models (e.g.: product pricing, curve stripping, scenario analysis)
- Process-design, -analysis, -testing and troubleshooting in the area of pricing/risk-analysis
- Systems-capability/fit analysis in the area of pricing/risk-analysis
- Data analysis - analyse data and situation, identify and solve problems, reason logically and drive valid conclusions
- Software analysis - analyse, design and implement purchased or in-house applications
- Testing and validation of logic and processes implemented
- Shared ownership of recurring production incidents by working with multiple stakeholders to resolve system issues
- Weekly production support rotation with the rest of the team
- Engage with the macro-environment to look for new opportunities, capabilities and trends that would add value to the required analysis work
- Suggest changes in executing work processes to better drive value and benefits for the business
- Prepare and share recommendations for process and systems improvements in relevant area of accountability
- Actively participate in team, cross-discipline and vendor-driven collaboration sessions or forums to increase understanding of the working environment (current and planned)
- Engage with key stakeholders to gather information with regards to changes and developments in their business area that would impact demand for allocated BT technologies
- Review demand items in partnership with business to better understand impacts on the relevant BT system, processes and systems environment
- Partner with process owners to create suitable roadmaps for business development and in anticipation of system and process enhancements
- Test and identify where service gaps would exist should different technologies be applied to the same process or where business process changes would not be accommodated by existing technology capabilities
- Analyse business requests to clearly understand business requirements and translate this into clear technical terms and specifications to best solve business problems
- Consolidate all knowledge articles and user training material
- Develop and share final service pack for relevant stakeholders
- Coordinate the integration activities of service providers
- Monitor benefits against what was detailed in the business case
- Control specific measures and mechanisms to measure benefits
#J-18808-Ljbffr