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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 analytical decisions while working with cutting-edge financial models.
- Qualifications: 5-8 years in quantitative roles, strong skills in SQL and Python required.
- Other info: Experience with regulatory capital models is a plus.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
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.
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Market Risk Quantitative Analytics Consultant employer: Jefferies
Contact Detail:
Jefferies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Risk Quantitative Analytics Consultant
✨Tip Number 1
Make sure to brush up on your knowledge of market risk models and methodologies, especially time series analysis and VaR methodologies. Being able to discuss these topics confidently during your interview will show that you have the expertise needed for this role.
✨Tip Number 2
Familiarize yourself with the specific equity derivatives products that Jefferies deals with. Understanding the nuances of these products will help you engage more effectively with the team and demonstrate your commitment to the role.
✨Tip Number 3
Since strong programming skills in SQL and Python are crucial, consider working on a small project or two that showcases your ability to handle large data sets and perform statistical tests. This practical experience can be a great talking point in your discussions.
✨Tip Number 4
Prepare to discuss your previous experiences with model validation and regulatory capital models. Having concrete examples ready will help you illustrate your qualifications and how they align with the responsibilities of the position.
We think you need these skills to ace Market Risk Quantitative Analytics Consultant
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities and qualifications listed in the job description. Highlight your relevant experience in market risk modeling, particularly with equity derivatives.
Tailor Your CV: Customize your CV to emphasize your 5-8 years of experience in quantitative roles, focusing on your skills in market risk models, time series analysis, and programming in SQL and Python.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your analytical decision-making skills and your ability to communicate complex concepts effectively. Mention specific projects or experiences that align with the role.
Prepare for Technical Questions: Be ready to discuss your technical expertise in market risk methodologies and your experience with model validation. Prepare examples of how you've handled data analysis and model implementation in previous roles.
How to prepare for a job interview at Jefferies
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with market risk models and methodologies in detail. Highlight specific projects where you applied time series analysis, VaR methodologies, or backtesting techniques.
✨Demonstrate Programming Proficiency
Since strong programming skills in SQL and Python are crucial for this role, be ready to share examples of how you've used these languages to handle large data sets and perform statistical tests. Consider discussing any relevant projects or challenges you've overcome.
✨Communicate Effectively
Excellent communication and presentation skills are essential. Practice explaining complex concepts in a clear and concise manner, as you may need to engage with various stakeholders, including front office and technology teams.
✨Prepare for Technical Documentation
Since the role involves producing well-structured technical model documentation, think about your past experiences in documenting model implementation details and findings. Be ready to discuss your approach to ensuring clarity and compliance with Model Risk Management policies.
