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For Companies At a Glance
- Tasks: Join our team to develop and manage market risk analytics for SIMM.
- Company: Be part of a leading firm focused on innovative financial solutions.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant workplace culture.
- Why this job: Make an impact in risk analytics while collaborating with diverse teams.
- Qualifications: Strong analytical skills and programming expertise in Python required.
- Other info: Experience with Murex and Bloomberg MARS is a plus.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
Quantitative analyst for developing and managing market risk analytics for SIMM. Candidate will join the Risk Analytics group that partakes in SIMM model development over the full life-cycle of model development: from methodology to design to local implementation and validation. The successful candidate will also provide analysis and feedback on changes to or introduction of new models at the firm.
Key Responsibilities & Tasks
- Develop and implement SIMM sensitivities for Fixed Income/Equity vanilla and exotic derivative products.
- Manage, maintain and improve SIMM risk sensitivities framework.
- Support the full life-cycle of model development from development, documentation, to validation
- Perform quantitative research to implement model changes, enhancements and remediation plans in 3rdparty analytic systems.
- Work with stakeholders across business and functional teams during model development process.
- Assess the methodologies and processes used by modeling teams to develop and manage their models, and identify potential weaknesses and the associated materiality of the risk
Qualifications/ Experience
- Deep understanding of pricing and risk calculations for Fixed Income derivatives.
- Strong analytical skills required to understand quantitative models, and to translate that understanding into sustainable library design, code development and integration into IT’s systems.
- Applicant needs to be familiar with financial markets and the associated market data
- Applicant needs to be comfortable with derivatives transactions terms and conditions data residing in multiple book and record systems
- Strong writing capabilities.
- Proficient programming skills in python (other languages such as R is a plus).
- Database expertise.
- Superior oral and written communication skills.
- Experience with Murex, Acadiasoft, and Bloomberg MARS a plus
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SIMM Quantitative Analyst, VP employer: Jefferies
Contact Detail:
Jefferies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SIMM Quantitative Analyst, VP
✨Tip Number 1
Network with professionals in the finance and risk analytics sectors. Attend industry conferences or webinars where you can meet people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Murex and Acadiasoft. Consider taking online courses or tutorials to enhance your skills in these areas, which will make you a more attractive candidate.
✨Tip Number 3
Prepare for technical interviews by practising quantitative problems related to Fixed Income derivatives. Brush up on your programming skills in Python and consider working on small projects that demonstrate your ability to implement risk models.
✨Tip Number 4
Stay updated on the latest trends and changes in financial markets and risk management. Reading relevant publications or following thought leaders on social media can provide you with valuable knowledge that you can discuss during interviews.
We think you need these skills to ace SIMM Quantitative Analyst, VP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with quantitative analysis, particularly in Fixed Income derivatives. Emphasise your programming skills in Python and any relevant database expertise.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the SIMM Quantitative Analyst position. Discuss your understanding of market risk analytics and how your skills align with the responsibilities outlined in the job description.
Showcase Relevant Experience: When detailing your work experience, focus on projects where you developed or managed quantitative models. Include specific examples of how you improved frameworks or conducted quantitative research.
Highlight Communication Skills: Since strong writing and communication skills are essential for this role, provide examples of reports or documentation you have created. Mention any experience working with stakeholders across different teams to demonstrate your collaborative abilities.
How to prepare for a job interview at Jefferies
✨Showcase Your Quantitative Skills
Be prepared to discuss your understanding of pricing and risk calculations for Fixed Income derivatives. Bring examples of past projects where you successfully implemented quantitative models, as this will demonstrate your analytical skills and familiarity with the subject matter.
✨Familiarise Yourself with SIMM
Since the role focuses on SIMM model development, ensure you have a solid grasp of the SIMM framework. Research its methodologies and be ready to discuss how you would manage and improve risk sensitivities within this context.
✨Prepare for Technical Questions
Expect technical questions related to programming in Python and possibly R. Brush up on your coding skills and be ready to solve problems or explain your thought process during the interview, as this will highlight your proficiency in programming.
✨Communicate Effectively
Given the importance of communication in this role, practice articulating complex concepts clearly and concisely. Prepare to discuss how you have collaborated with stakeholders in previous roles, as this will showcase your ability to work across teams.
