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- Tasks: Lead and enhance the Application Risk Classification model while driving innovation in risk modelling.
- Company: Join JPMC, a leader in technology risk management with a dynamic work environment.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on technology and cyber risk management in a fast-paced setting.
- Qualifications: Experience in technology risk management and strong data analysis skills required.
- Other info: Collaborate with diverse teams and influence strategic decision-making.
The predicted salary is between 36000 - 60000 £ per year.
Join our team to play a pivotal role in advancing JPMC’s technology risk management capabilities. As the Tech Risk & Controls Lead, you will own and continuously enhance the Application Risk Classification (ARC) model, while supporting the development and integration of other risk models and performing thematic analysis. You will drive innovation in risk modelling, ensure operational excellence, and provide actionable insights to senior leadership, helping the firm proactively manage technology and cyber risks in a dynamic environment.
Key Responsibilities
- Own and Enhance ARC Model: Lead the ownership, maintenance, and continuous improvement of JPMC’s Application Risk Classification (ARC) model, ensuring it adapts to evolving threats, technology changes, and regulatory requirements.
- Support Broader Model Development: Collaborate on the development, integration, and prioritization of additional risk models including de-duplication and reconciliation of risk findings from multiple sources.
- Thematic Analysis & Insights: Conduct thematic analysis of risk data to identify trends, vulnerabilities, and areas for improvement. Provide actionable recommendations to inform risk-based decision making.
- Stakeholder Engagement: Partner with engineering, security, business, and data teams to embed risk models into operational and strategic processes. Build trusted relationships to facilitate cross-functional collaboration.
- Reporting & Communication: Communicate risk priorities, model outcomes, and business implications to both technical and non-technical audiences. Translate complex technical risk data into clear, actionable recommendations for senior leadership.
Required Qualifications, Capabilities, and Skills
- Proven experience in technology risk management, cyber risk modelling, or information security, with a focus on risk identification, assessment, and mitigation.
- Strong understanding of application risk classification, risk scoring methodologies and prioritization frameworks.
- Advanced data analysis skills; proficiency in SQL, Python, R, or equivalent tools.
- Experience with techniques for de-duplicating and reconciling risk findings from multiple sources (e.g., vulnerability scanners, code reviews, threat intelligence).
- Ability to synthesize complex technical information and present it in a clear, concise manner to senior executives.
- Familiarity with regulatory frameworks (e.g., NIST, ISO 27001, CIS Controls) and financial industry requirements.
- Demonstrated ability to influence strategic decision-making and translate technology insights into business strategies.
- Excellent written and verbal communication skills.
- Proactive in staying updated on cyber threat trends, regulatory changes, and emerging technologies.
Preferred Qualifications
- Industry-recognized certifications such as CISM, CRISC, CISSP, or similar.
- Experience leading risk model development, application risk classification, or data de-duplication initiatives.
Tech Risk & Controls Lead – Application Risk Classification (ARC) & Model Development in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Risk & Controls Lead – Application Risk Classification (ARC) & Model Development in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to tech risk and controls. Think about how your experience aligns with the role and be ready to share specific examples that showcase your skills.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your passion for technology risk management and make sure to tailor your approach to each application.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show you were engaged and interested.
We think you need these skills to ace Tech Risk & Controls Lead – Application Risk Classification (ARC) & Model Development in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in technology risk management and application risk classification. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Showcase Your Data Skills: Since this role involves advanced data analysis, be sure to mention your proficiency in SQL, Python, or R. We love seeing examples of how you've used these tools to drive insights or improve risk models in your previous roles.
Communicate Clearly: Remember, you’ll need to translate complex technical information into clear recommendations. Use your written application to demonstrate your ability to communicate effectively, especially when discussing technical concepts. Keep it concise and 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’re considered for the role. Plus, you’ll find all the details you need about the position there!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Risk Models
Make sure you have a solid understanding of the Application Risk Classification (ARC) model and other risk models relevant to the role. Be prepared to discuss how you would enhance these models and adapt them to evolving threats. Brush up on your knowledge of risk scoring methodologies and prioritisation frameworks.
✨Showcase Your Data Skills
Since advanced data analysis skills are crucial for this position, be ready to demonstrate your proficiency in SQL, Python, or R. You might be asked to solve a problem or analyse a dataset during the interview, so practice explaining your thought process clearly and concisely.
✨Communicate Clearly
You’ll need to translate complex technical information into actionable insights for senior leadership. Practice explaining technical concepts in simple terms, as well as how you would communicate risk priorities and model outcomes to both technical and non-technical audiences.
✨Engage with Stakeholders
Highlight your experience in collaborating with cross-functional teams, such as engineering, security, and business units. Be prepared to share examples of how you've built trusted relationships and facilitated collaboration in previous roles, as stakeholder engagement is key to success in this position.
