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For Companies At a Glance
- Tasks: Join a team to build machine learning solutions for financial predictions.
- Company: AI Connect partners with a retail bank to innovate in finance.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and benefits.
- Why this job: Make an impact with cutting-edge technology in a collaborative environment.
- Qualifications: Experience as a Quant Analyst and knowledge of statistical machine learning required.
- Other info: Work in Edinburgh or London and contribute to ethical model development.
The predicted salary is between 56000 - 84000 £ per year.
Quantitative Analyst – Edinburgh or London (Hybrid)
£70,000 – £110,000 + Bonus & Benefits
AI Connect are partnering with a retail bank to help them appoint a Quantitative Analyst to join their finance function. You’ll join their scenario modelling team within their Centre of Excellence to implement machine learning techniques to drive market leading solutions.
What you’ll do:
- Understand how macroeconomic factors can impact inflation/borrowing, and build suitable machine learning solutions to predict outcomes.
- Ability to read scientific papers and communicate info to non technical audience
- Bringing together financial, statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms.
- Building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models.
- Productionising ethically sound models end-to-end and applying a software engineering and product development lens to complex business problems
Key Skills & Experience:
- Experience working as a Quant Analyst within finance would be highly beneficial.
- Experience deploying statistical machine learning models into a production environment.
- Extensive work experience, including expertise with statistical data analysis, such as linear models, multivariate analysis, forcasting, bayesian, classification or time series analysis.
- Particular experience with scenario modelling, stress testing, balance sheet forecasting, credit risk, portfolio optimisation or structured finance would be beneficial.
AI Connect | Quantitative Analyst employer: AI Connect
Contact Detail:
AI Connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Connect | Quantitative Analyst
✨Tip Number 1
Familiarize yourself with the latest machine learning techniques and their applications in finance. This will not only help you understand the role better but also allow you to discuss relevant projects or ideas during your interview.
✨Tip Number 2
Brush up on your knowledge of macroeconomic factors and how they influence financial markets. Being able to articulate this understanding can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with statistical data analysis and any specific models you've worked with. Highlighting your hands-on experience with scenario modelling or stress testing can be a great advantage.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since the role involves communicating with non-technical audiences, showcasing your ability to bridge that gap can make a strong impression.
We think you need these skills to ace AI Connect | Quantitative Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Analyst position. Understand the key responsibilities and required skills, especially around machine learning techniques and financial analysis.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in quantitative analysis, particularly any work with statistical machine learning models and scenario modelling. Use specific examples to demonstrate your expertise.
Showcase Communication Skills: Since the role requires communicating complex information to a non-technical audience, include examples in your application that showcase your ability to simplify technical concepts and engage with diverse stakeholders.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements of the job. Use keywords from the job description, such as 'model risk', 'governance', and 'portfolio optimisation' to make your application stand out.
How to prepare for a job interview at AI Connect
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning techniques and how you've applied them in previous roles. Highlight specific projects where you built, trained, or tested complex models, and be ready to explain the methodologies you used.
✨Understand Macroeconomic Factors
Demonstrate your understanding of how macroeconomic factors influence financial outcomes. Be ready to discuss examples of how you've incorporated these factors into your quantitative analyses and model predictions.
✨Communicate Effectively
Since you'll need to convey complex information to a non-technical audience, practice explaining your work in simple terms. Prepare to share how you've successfully communicated technical concepts in past experiences.
✨Prepare for Ethical Considerations
Be ready to discuss the ethical implications of your models and how you ensure they are sound. Think about scenarios where you had to consider model risk and governance, and be prepared to share your approach to these challenges.
