At a Glance
- Tasks: Build cutting-edge AI models for investment strategies and collaborate with top researchers.
- Company: Join WorldQuant, a leader in systematic financial strategies and innovative AI solutions.
- Benefits: Enjoy competitive salary, full medical coverage, unlimited sick days, and flexible work options.
- Other info: Dynamic environment with excellent career growth and learning opportunities.
- Why this job: Make a real impact in finance using AI while working with brilliant minds.
- Qualifications: 2+ years in AI/ML, strong Python skills, and experience with complex software systems.
The predicted salary is between 120000 - 160000 £ per year.
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high‑quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
WorldQuant offers an exciting opportunity for a Quantitative Strategist to join the Artificial Intelligence team. Reporting directly to the firm’s Head of AI, the individual will be part of a dynamic group of researchers on the cutting edge of quantitative finance. Together they enable the firm to implement cutting‑edge AI at each layer of the investment process – from data to models to strategies and execution. The team has created a platform for the end‑to‑end optimization of all the modules used in trading – leading to a simplified, highly effective trading system.
Responsibilities
- Build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more.
- Implement AI solutions throughout the firm via collaboration with portfolio management, risk and other research teams.
- Access the firm’s state‑of‑the‑art data and hardware systems.
- Develop the foundational software used for AI at WorldQuant.
Qualifications
- At least 2 years of experience training AI, ML, reinforcement learning and related models in the technology, academia or quantitative trading domains.
- Hands‑on experience building, testing and maintaining complex software systems.
- Willingness to explain and defend employed models, their interpretation and business value to the team and stakeholders.
- Experience developing AI/ML algorithms and infrastructure.
- Excellent knowledge of Python, NumPy and Pandas.
- Experience with at least one of: XGBoost, LightGBM, CatBoost, TensorFlow, PyTorch, MOSEK, CVXPY.
- Graduate‑level research experience in Artificial Intelligence or related field, including work published or accepted to a major conference is a plus.
- C++ knowledge is a plus.
Benefits
- Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401(k), fully paid parental leave, generous PTO with unlimited sick days.
- Employee discounts for gym memberships, wellness activities, healthy snacks and a casual dress code.
- Learning and development courses, speakers, team‑building off‑site.
- Employee resource groups.
WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $150,000 to $200,000 which is specific to New York and may change in the future. When finalizing an offer we will take into consideration an individual’s experience, compensation, and the qualifications they bring to the role to formulate a competitive total compensation package.
WorldQuant is an equal‑opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
AI Quantitative Strategist employer: Quant Blueprint LLC
WorldQuant is an exceptional employer that fosters a culture of innovation and collaboration, where employees are empowered to challenge conventional thinking and contribute to cutting-edge AI solutions in quantitative finance. With comprehensive benefits including fully paid medical and dental insurance, generous PTO, and opportunities for professional development, WorldQuant prioritises employee well-being and growth. Located in New York, the firm offers a dynamic work environment that values intellectual talent and encourages continuous improvement, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quantitative Strategist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at WorldQuant. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or research that highlight your AI/ML expertise, share them. Whether it's a GitHub repo or a blog post, let your work speak for itself.
✨Tip Number 3
Prepare for the interview by diving deep into WorldQuant's culture and values. They love innovative thinkers, so come ready with ideas on how you can contribute to their mission of tackling market inefficiencies.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace AI Quantitative Strategist
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and quantitative finance shine through. We want to see that you’re not just qualified, but genuinely excited about the work we do at WorldQuant.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the AI Quantitative Strategist role. Highlight relevant experiences and skills that align with our needs, especially in AI/ML and software development. We love seeing how your background fits into our mission!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your experience and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Quant Blueprint LLC
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI, ML, and reinforcement learning models. Be ready to discuss your hands-on experience with these technologies, especially how you've applied them in real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Problem-Solving Skills
WorldQuant values innovative thinking, so prepare to discuss specific challenges you've faced in your previous roles and how you tackled them. Use examples that highlight your ability to think outside the box and come up with practical solutions, as this aligns with their culture of continuous improvement.
✨Familiarise Yourself with Their Tools
Brush up on your knowledge of Python, NumPy, and Pandas, as well as any relevant libraries like XGBoost or TensorFlow. Being able to speak confidently about these tools and how you've used them in your projects will demonstrate your technical prowess and readiness for the role.
✨Prepare to Discuss Collaboration
Since the role involves working closely with various teams, be prepared to talk about your experience collaborating with others. Highlight instances where you’ve successfully communicated complex ideas to non-technical stakeholders, as this will show your ability to bridge the gap between technical and non-technical teams.
