At a Glance
- Tasks: Analyse and assess complex pricing models while mentoring junior team members.
- Company: Join a leading financial firm with a focus on model risk management.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Dynamic team environment with exposure to various business areas.
- Why this job: Make a real impact in model risk governance and work with cutting-edge quantitative methods.
- Qualifications: Strong background in quantitative disciplines and excellent coding skills.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a new member to join our Interest Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm.
As a Quant Model Risk Vice President in the Model Risk Governance team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have exposure to a variety of business and functional areas and will work closely with model developers and users. You will also have managerial responsibility to oversee, train and mentor junior members of the team.
Job responsibilities:
- Carry out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures; provide guidance on model usage and act as first point of contact for the business on all new models and changes to existing models; develop and implement alternative model benchmarks and compare the outcome of various models; design model performance metrics.
- Liaise with model developers, Risk and Valuation Control Groups and provide guidance on model risk.
- Evaluate model performance on a regular basis.
- Manage and develop junior members of the team.
Required qualifications, capabilities, and skills:
- Significant experience in a front-office or model risk quantitative role.
- Excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis.
- MSc, PhD or equivalent in a quantitative discipline.
- Inquisitive nature, ability to ask right questions and escalate issues.
- Excellent communication skills (written and verbal).
- Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives).
- Good coding skills, for example in C/C++ or Python.
Preferred qualifications, capabilities, and skills:
- Experience with interest rates derivatives.
Senior Lead Software Engineer employer: Quant Blueprint LLC
Join a dynamic and innovative team at the forefront of model risk management, where your expertise as a Senior Lead Software Engineer will be valued and nurtured. Our collaborative work culture fosters continuous learning and professional growth, providing you with opportunities to mentor junior members while engaging with diverse business areas. Located in a vibrant city, we offer competitive benefits and a supportive environment that prioritises employee well-being and development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Software Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars where you can meet potential employers and showcase your skills. Remember, it's all about who you know!
✨Tip Number 2
Prepare for those interviews! Research common questions for senior roles in model risk and practice your responses. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your work, especially any projects related to quantitative models or risk management. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Apply through our website! We have a range of opportunities that might be perfect for you. Plus, applying directly shows your interest and commitment to joining our team. Don't miss out on your chance to shine!
We think you need these skills to ace Senior Lead Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Lead Software Engineer role. Highlight your quantitative experience and any relevant projects you've worked on, especially those involving model risk management.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about model risk governance and how your background makes you a perfect fit for our team. Don't forget to mention your managerial experience and how you can mentor junior members.
Showcase Your Technical Skills:Since coding is key for this role, make sure to include specific examples of your programming skills in C/C++ or Python. If you've developed models or tools, share those experiences to demonstrate your technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Quant Blueprint LLC
✨Know Your Models Inside Out
Make sure you have a solid understanding of the complex pricing models and methodologies mentioned in the job description. Be prepared to discuss their conceptual soundness and how they apply to valuation and risk measurement. Brush up on your knowledge of option pricing theory, as this will likely come up during the interview.
✨Showcase Your Communication Skills
Since you'll be liaising with model developers and various teams, it's crucial to demonstrate your excellent communication skills. Practice explaining complex concepts in simple terms, and be ready to discuss how you've effectively communicated model risks or changes in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to probability theory, stochastic processes, and numerical analysis. Review key concepts and be ready to solve problems on the spot. This will show your depth of knowledge and ability to think critically under pressure.
✨Highlight Your Leadership Experience
As you'll have managerial responsibilities, be prepared to discuss your experience in overseeing and mentoring junior team members. Share specific examples of how you've developed talent in your previous roles and how you approach training and guidance.
