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For Companies At a Glance
- Tasks: Lead AI innovation in investment strategies and develop advanced machine learning solutions.
- Company: Join a cutting-edge firm revolutionising finance with AI and machine learning technologies.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, impacting financial decision-making and mentoring future talent.
- Qualifications: D. or Master's in a relevant field and 7+ years of AI/ML experience required.
- Other info: Experience with AWS and big data technologies is a plus.
The predicted salary is between 54000 - 84000 £ per year.
Company Overview
Our client is at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to drive investment strategies and generate alpha. We are seeking an exceptional AI Tech Lead to spearhead the technological innovation and AI implementation across quantitative research and trading operations.
The AI Tech Lead will be responsible for designing, developing, and implementing advanced AI solutions that transform our investment decision-making processes. This role requires a unique blend of deep technical expertise, strategic thinking, and financial domain knowledge.
- Lead the architectural design and implementation of AI/ML systems for quantitative trading and investment research
- Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization
- Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time
- Collaborate closely with quantitative researchers, data scientists, and trading teams to translate complex financial insights into actionable AI solutions
- Implement robust machine learning pipelines for data preprocessing, model training, validation, and deployment
- Ensure the highest standards of model interpretability, explainability, and risk management
- Drive innovation in AI technologies, including large language models, deep learning, and advanced predictive algorithms
- Mentor and develop a team of AI engineers and data scientists
- Evaluate and integrate emerging AI technologies and research into existing systems
Qualifications:
- D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field
- ~7+ years of experience in AI/ML development, with at least 3 years in a leadership role
- ~ Extensive experience in building production-grade machine learning systems
- ~ Strong programming skills in Python, with expertise in ML frameworks such as TensorFlow, PyTorch, and scikit-learn
- ~ Proven track record of developing predictive models for financial applications
- ~ Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques
- ~ Experience with cloud computing platforms (AWS, GCP, Azure)
- ~ Excellent understanding of distributed computing and big data technologies
- Advanced machine learning and deep learning techniques
- Natural language processing
- Time series analysis and forecasting
- Big data technologies (Spark, Hadoop)
Tech Lead - AWS employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead - AWS
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially those relevant to financial applications. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the finance and AI sectors. Attend industry conferences, webinars, or meetups where you can connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to showcase your leadership experience in AI/ML projects. Think of specific examples where you've led a team or project, focusing on how you drove innovation and achieved results, as this will be crucial for the Tech Lead position.
✨Tip Number 4
Brush up on your knowledge of AWS and other cloud platforms. Be ready to discuss how you've used these technologies in past projects, particularly in relation to building scalable AI infrastructures, as this is a key requirement for the role.
We think you need these skills to ace Tech Lead - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML development, particularly in leadership roles. Emphasise your programming skills in Python and familiarity with ML frameworks like TensorFlow and PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI technologies and how your background aligns with the company's mission. Mention specific projects where you've implemented machine learning solutions in financial contexts.
Showcase Technical Expertise: Include specific examples of your work with cloud computing platforms, especially AWS, and any experience you have with big data technologies like Spark or Hadoop. This will demonstrate your technical proficiency.
Highlight Leadership Experience: Since the role requires mentoring a team, be sure to detail your leadership experience. Discuss how you've guided teams in developing AI solutions and any successful projects that resulted from your mentorship.
How to prepare for a job interview at Aurum Search Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML development in detail. Highlight specific projects where you've designed and implemented machine learning models, especially those related to financial applications. This will demonstrate your deep technical expertise and understanding of the domain.
✨Demonstrate Leadership Skills
Since this role requires leadership, be ready to share examples of how you've mentored teams or led projects. Discuss your approach to fostering collaboration among quantitative researchers and data scientists, as well as how you drive innovation within a team.
✨Understand the Financial Domain
Brush up on your knowledge of investment strategies and market forecasting. Be prepared to explain how your AI solutions can transform investment decision-making processes. This will show that you not only have the technical skills but also the financial acumen needed for the role.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning algorithms, cloud computing platforms, and big data technologies. Practise explaining complex concepts in a clear and concise manner, as this will reflect your ability to communicate effectively with both technical and non-technical stakeholders.
