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- Tasks: Join our Quantitative Risk team to model market risk for equity derivatives.
- Company: Jefferies is a leading financial services company with a global presence.
- Benefits: Enjoy competitive pay, professional growth opportunities, and a collaborative work environment.
- Why this job: Make impactful decisions in a dynamic market while working with top-tier professionals.
- Qualifications: 5-8 years in quantitative roles, strong skills in SQL and Python, and market risk expertise required.
- Other info: Ideal for self-starters who thrive in fast-paced environments.
The predicted salary is between 36000 - 60000 £ per year.
Risk Analytics – Equity market risk quantitative analyst
Jefferies is seeking an experienced quantitative analyst / risk modeler with 5 – 8 years of financial industry experience to join the Quantitative Risk team. Focus of this position is on Market Risk modeling for equity derivatives products.
Core Responsibilities:
- Acting as the SME and liaising with front office, technology, and market risk managers to implement and maintain market risk models. Making key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia.
- Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of the materiality of any model limitations (e.g. RNIV).
- Documenting model implementation details, tests, and findings for model validation to review, in accordance with Firm’s Model Risk Management policies and framework.
Qualifications:
- Strong background in market risk models and methodologies (e.g. time series analysis, VaR methodologies and backtesting), with 5 – 8 years of previous experience in a quantitative role at a financial institution.
- Good understanding of equity pricing models and products.
- Strong programing skills and data handling skills in SQL and Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results).
- Excellent communication and presentation skills (ability to engage in concise, effective discussions).
- Excellent written skills (ability to produce well-structured technical model documentation).
- Ability to work without significant direct supervision.
- Previous experience of regulatory capital model & economic capital model is preferred.
- Knowledge of Numerix and/or Bloomberg a plus.
Quantitative Analyst employer: LevelUP HCS
Contact Detail:
LevelUP HCS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Make sure to showcase your experience with market risk models and methodologies during the interview. Be prepared to discuss specific projects where you applied time series analysis or VaR methodologies, as this will demonstrate your expertise in the field.
✨Tip Number 2
Brush up on your programming skills, especially in SQL and Python. You might be asked to solve a practical problem or analyze a dataset during the interview, so being comfortable with data handling and statistical tests will give you an edge.
✨Tip Number 3
Prepare to discuss your communication and presentation skills. Since you'll be liaising with various teams, think of examples where you've effectively communicated complex quantitative concepts to non-technical stakeholders.
✨Tip Number 4
Familiarize yourself with the regulatory aspects of market risk modeling, including Basel requirements. Being able to speak knowledgeably about regulatory capital models can set you apart from other candidates.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Quantitative Analyst position. Familiarize yourself with market risk modeling, equity derivatives, and the specific methodologies mentioned in the job description.
Tailor Your CV: Highlight your relevant experience in market risk models and quantitative roles. Emphasize your programming skills in SQL and Python, as well as any experience with regulatory capital models. Make sure to include specific examples of your work that align with the job requirements.
Craft a Strong Cover Letter: Write a cover letter that showcases your analytical skills and experience in market risk modeling. Discuss your ability to communicate complex ideas effectively and your experience working with cross-functional teams. Be sure to mention your familiarity with tools like Numerix and Bloomberg if applicable.
Prepare for Technical Questions: Anticipate technical questions related to market risk modeling, time series analysis, and VaR methodologies during the interview process. Be ready to discuss your previous projects and how you approached model validation and documentation.
How to prepare for a job interview at LevelUP HCS
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Highlight specific projects where you wrangled large data sets or implemented statistical tests, as this will demonstrate your technical proficiency relevant to the role.
✨Understand Market Risk Models
Brush up on your knowledge of market risk models and methodologies, especially time series analysis and VaR methodologies. Be ready to explain how you've applied these concepts in previous roles, as this will show your expertise in the field.
✨Prepare for Analytical Discussions
Expect to engage in discussions about analytical decisions related to market risk modeling. Practice articulating your thought process and decision-making criteria, as effective communication is key in this role.
✨Document Your Experience
Since documentation is crucial for model validation, prepare examples of well-structured technical documents you've created in the past. This will showcase your ability to communicate complex information clearly and effectively.
