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- Tasks: Lead the design and implementation of model risk management architecture.
- Company: Quanteam is a consulting firm specialising in Capital Markets with a global presence.
- Benefits: Enjoy hybrid working, competitive market rates, and opportunities for professional growth.
- Why this job: Join a dynamic team focused on innovation and regulatory excellence in finance.
- Qualifications: 5-10 years in Strats, Quant, or Analytics; strong Python skills required.
- Other info: Work with top clients in financial services and enhance your technical expertise.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a Quant Strat to join our team and lead the design and implementation of a future-state model risk management architecture. This role supports a multi-year program aligned with SS1/23 regulations to enhance governance, automation, and technology capabilities across our Wholesale business.
Key Responsibilities:
- Technology Optimization: Expand and enhance the core strategic code library for Wholesale-owned models and deterministic quantitative methods (DQMs).
- Control Automation: Partner with the Non-Financial Risk team to automate control requirements.
- Model Integration: Design and implement interfaces between the business code library and Group model inventory systems.
- Stakeholder Collaboration: Engage with internal teams to ensure alignment with broader regulatory and operational goals.
- Training & Documentation: Develop training programs to upskill global users on the new systems and processes.
Key Requirements:
- 5-10 years of experience in a Strats, Quant, or Analytics function within financial services.
- Strong proficiency in Python and relevant libraries (e.g., Pandas, Numpy, PySpark).
- Experience with CI/CD pipelines (e.g., GitHub, Jenkins) and containerization tools like Docker and Kubernetes.
- Familiarity with cloud computing platforms (e.g., GCP, AliCloud) and big data technologies (Hadoop, Spark, Kafka).
- Strong commercial acumen, problem-solving skills, and the ability to present to senior stakeholders.
- Background in computer science, statistics, physics, or engineering.
Quanteam Group is a Consulting firm specialized in the Capital Markets industry, in Paris, London, Krakow, Brussels, New York and North Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation.
The firm mainly takes part in: Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. Basel III, Solvency II, FATCA, EMIR, MiFID), Pricing & Valuation, Organizational Transformation & Process Improvement. IT & Information systems consulting: Business Analysis, Project Management, Change management, Front Office Support (functional and technical), Development (e.g C++, Python, C#, Java, VBA), Financial Software (e.g. Sophis, Murex, Summit, Calypso), IT Transformation & Innovation.
As part of Quanteam Group, Quanteam UK & PL has today more than 80 consultants, working for major Capital Markets institutions in London and Krakow.
Quant Strat – Model Risk Management employer: Quanteam
Contact Detail:
Quanteam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Strat – Model Risk Management
✨Tip Number 1
Familiarise yourself with the latest regulations and standards in model risk management, especially those related to SS1/23. This knowledge will not only help you understand the role better but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Network with professionals in the Quant and Model Risk Management space. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the company culture and expectations at Quanteam.
✨Tip Number 3
Brush up on your Python skills, particularly with libraries like Pandas and Numpy. Consider working on personal projects or contributing to open-source projects that showcase your ability to apply these tools in real-world scenarios.
✨Tip Number 4
Prepare to discuss your experience with CI/CD pipelines and containerization tools during interviews. Be ready to share specific examples of how you've used these technologies to optimise processes or improve project outcomes in previous roles.
We think you need these skills to ace Quant Strat – Model Risk Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, model risk management, and any specific technologies mentioned in the job description, such as Python and CI/CD pipelines.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your motivation for applying to Quanteam and how your skills align with their needs. Mention your experience with automation and stakeholder collaboration.
Highlight Technical Skills: In your application, emphasise your proficiency in Python and relevant libraries, as well as your familiarity with cloud computing platforms and big data technologies. Provide examples of how you've used these skills in previous roles.
Showcase Problem-Solving Abilities: Include specific examples in your application that demonstrate your problem-solving skills and commercial acumen, particularly in relation to financial services and model risk management.
How to prepare for a job interview at Quanteam
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and relevant libraries like Pandas and Numpy. Be prepared to discuss specific projects where you've used these skills, especially in relation to model risk management.
✨Understand the Regulatory Landscape
Familiarise yourself with SS1/23 regulations and how they impact model risk management. Demonstrating your knowledge of these regulations will show that you are aligned with the company's goals and can contribute effectively.
✨Prepare for Stakeholder Engagement
Since the role involves collaboration with various internal teams, think of examples where you've successfully engaged with stakeholders. Be ready to discuss how you ensured alignment with broader operational goals in previous roles.
✨Emphasise Problem-Solving Abilities
The job requires strong problem-solving skills, so prepare to discuss challenges you've faced in past projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
