At a Glance
- Tasks: Lead innovative AI projects and validate complex financial models.
- Company: Join Moody's Corporation, a global leader in risk assessment.
- Benefits: Inclusive culture, opportunities for growth, and a chance to shape the future of finance.
- Other info: Embrace a dynamic environment that values diverse perspectives and ethical AI governance.
- Why this job: Make a real impact by transforming how the world sees risk with cutting-edge AI.
- Qualifications: Expertise in quantitative finance, AI, and programming languages like R and Python.
The predicted salary is between 63000 - 77000 £ per year.
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.
hackajob is partnering directly with Moody's Corporation to hire for this role.
At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities.
We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.
Moodys is transforming how the world sees risk.
As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it.
We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply!
You still may be a great fit for this role or other open roles.
We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
- A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets.
- A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance.
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency.
Strong experience using AI tools to lead innovation initiatives.
Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.
- The ability to articulate complex ideas fluently and clearly.
- Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base.
- Knowledge of C++ programming is preferred. xgikmsk
- Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary.
Candidates should be adept at handling model validation assignments with minimal supe Please click on the apply button to read the full job description
Vice President - Modeling & Quant Analytics (MRG) in London employer: Hackajob
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StudySmarter Expert Advice🤫
We think this is how you could land Vice President - Modeling & Quant Analytics (MRG) in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Hackajob. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Vice President - Modeling & Quant Analytics (MRG) in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Hackajob.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Hackajob's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Hackajob
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Hackajob.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Hackajob will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Hackajob employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
