At a Glance
- Tasks: Develop and validate mathematical models to assess financial risks and optimise portfolios.
- Company: Join BRMi, a forward-thinking firm in the financial services sector.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Diverse workplace with a commitment to equal opportunity.
- Why this job: Make a real impact by using your skills to predict financial outcomes and mitigate risks.
- Qualifications: Doctorate in maths, physics, or stats, or 10+ years of relevant experience.
The predicted salary is between 100000 - 120000 € per year.
BRMi is seeking a Quantitative Risk Modeler with at least 10 years of experience or a doctorate degree in mathematics, statistics, or physics to support a large financial services client in a hybrid work environment in either of the following locations: Vienna, VA; Winchester, VA; or Pensacola, FL. Hybrid work: 3 days per week in any of the above locations.
Salary:
- Vienna, VA: $110K-120K
- Winchester, VA: $105K-$110K
- Pensacola, FL: $100K-105K
Responsibilities:
- Developing and testing models to predict potential financial losses and optimize portfolios.
- Analyzing large datasets and leveraging statistical techniques and machine learning algorithms to identify risk factors and stress test portfolio exposures.
- Collaborating with teams to ensure models meet regulatory requirements and support strategic decision-making.
- Ensuring compliance with regulatory frameworks such as Basel III and IFRS 9.
- Providing insights to management and stakeholders for risk assessment and mitigation.
Qualifications:
- Doctorate degree in mathematics, physics, or statistics or at least 10 years of experience.
- Advanced knowledge in probabilistic theory, game theory, dynamic systems theory, and related disciplines.
- Strong understanding of database design, data mining, and data modeling concepts.
- Proven ability to develop effective data visualization strategies.
- Advanced verbal, written, interpersonal, and presentation skills to communicate technical information to all levels of management.
- Excellent understanding of machine learning, statistical modeling, and algorithms.
Desired Skills:
- Advanced knowledge of principles of algorithmic, Bayesian, Nash, and other related game theory subfields.
- Advanced skills with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code, or other appropriate languages/frameworks for statistical analysis.
- Experience working with data visualization applications such as PowerBI and Plotly.
- Experience working with cybersecurity frameworks and related data.
Additional Information:
BRMi will not sponsor applicants for work visas for this position. This is a W2 opportunity only.
Equal Opportunity Employment:
We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.
Quantitative Risk Modeler in Winchester employer: BRMi
BRMi is an exceptional employer that fosters a collaborative and inclusive work culture, offering Quantitative Risk Modelers the opportunity to thrive in a hybrid environment across beautiful locations like Vienna, Winchester, and Pensacola. With a strong commitment to employee growth, BRMi provides access to advanced training and development resources, ensuring that team members can enhance their skills while contributing to meaningful projects in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Modeler in Winchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your work, especially any models or analyses you’ve developed. We recommend using platforms like GitHub to showcase your coding skills and projects. It’s a great way to stand out!
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. We suggest doing mock interviews with friends or using online resources. Make sure you can explain your thought process behind your models and how they relate to real-world financial risks.
✨Apply Through Our Website
When you find a role that fits, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join our team!
We think you need these skills to ace Quantitative Risk Modeler in Winchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in developing and validating mathematical models. Use keywords from the job description to show that you’re a perfect fit for the Quantitative Risk Modeler role.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've used SQL, Python, or machine learning techniques in your previous roles. This will help us see your practical experience.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about quantitative risk modelling and how your background aligns with our needs. Keep it concise but impactful!
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at BRMi
✨Know Your Models Inside Out
As a Quantitative Risk Modeler, you’ll need to demonstrate your expertise in developing and validating mathematical models. Brush up on your past projects and be ready to discuss the methodologies you used, the challenges you faced, and how you overcame them.
✨Showcase Your Data Skills
Make sure to highlight your experience with SQL, Python, and data visualisation tools like PowerBI. Prepare examples of how you've used these skills to analyse large datasets and derive insights that influenced decision-making.
✨Understand Regulatory Frameworks
Familiarise yourself with Basel III and IFRS 9 regulations. Be prepared to discuss how your work aligns with these frameworks and how you ensure compliance in your modelling processes.
✨Communicate Clearly and Confidently
Your ability to convey complex technical information is crucial. Practice explaining your work in simple terms, as you may need to present your findings to stakeholders who aren’t experts in quantitative risk.
