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- Tasks: Collaborate with portfolio managers to design data-driven solutions in the Commodities & Energy sector.
- Company: Balyasny Asset Management, where finance meets cutting-edge technology.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Other info: Join a high-impact team with excellent career advancement opportunities.
- Why this job: Make a real impact by using AI and machine learning to drive investment decisions.
- Qualifications: Strong analytical skills and experience in data science or related fields.
The predicted salary is between 60000 - 80000 £ per year.
Balyasny Asset Management (BAM) operates at the intersection of finance and technology. Our teams bring together portfolio managers, financial analysts, quantitative researchers, and software engineers who work together to identify investment opportunities and generate lasting returns for our investors. BAM's Data Science & AI (DSAI) group consists of data scientists, engineers, and researchers who support the firm's research initiatives across fundamental and quantitative strategies. The team implements machine learning models and leverages our cutting-edge data platforms to analyze datasets and generate investment signals. DSAI works with each investment strategy at BAM, providing analytical rigor and data-driven insights for investment decisions.
Within DSAI, the Data Science Research team combines sector knowledge with quantitative methods to support the firm's data capabilities. The team collaborates with Equity Portfolio Managers to develop insights that inform investment decisions and portfolio performance. We are seeking an exceptional Data Scientist to join our high-impact team focused on the Commodities & Energy space. In this role, you will collaborate directly with portfolio managers to design and deliver data-driven solutions that address the most pressing investment debates and unlock new sources of alpha. You'll have the opportunity to partner with senior investors, to lead research design on investment themes, and develop advanced models for alpha generation.
What You'll Do
- Partner with Portfolio Managers: Identify and frame key investment debates in the Commodities & Energy space, and design and conduct data-driven research to address them.
- Forecast the Future: Use advances techniques (LLMs, graph analytics, machine learning, Bayesian frameworks) to create predictions which have high accuracy and low latency.
- Leverage AI: Use the latest in LLMs and BAM's AI infrastructure.
Data Scientist, Energy & Industrials | London, UK employer: Balyasny Asset Management LP
Contact Detail:
Balyasny Asset Management LP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Energy & Industrials | London, UK
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at BAM or similar firms. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your data science expertise, especially in the Commodities & Energy space. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your machine learning concepts and coding skills. Use platforms like StudySmarter to refine your knowledge.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist, Energy & Industrials | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role in Energy & Industrials. Highlight relevant experience and skills that align with the job description, especially your expertise in machine learning and data analysis.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the Commodities & Energy space and how your background makes you a perfect fit for our team at BAM.
Showcase Your Projects: Include any relevant projects or research you've done that demonstrate your ability to work with data and develop predictive models. This will help us see your practical experience in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Balyasny Asset Management LP
✨Know Your Data Science Tools
Make sure you're well-versed in the latest data science techniques and tools relevant to the role. Brush up on machine learning models, Bayesian frameworks, and any specific programming languages or software BAM uses. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Understand the Commodities & Energy Space
Familiarise yourself with current trends and challenges in the Commodities & Energy sector. This knowledge will help you frame your answers and demonstrate your ability to contribute to investment debates. Showing that you can connect your data skills to real-world applications will impress the interviewers.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and analytical thinking. Practice explaining your thought process clearly and concisely. You might be asked to solve a case study or analyse a dataset on the spot, so being prepared for this will give you an edge.
✨Showcase Collaboration Skills
Since you'll be working closely with portfolio managers, highlight your teamwork and communication skills. Be ready to share examples of how you've successfully collaborated on projects in the past. This will demonstrate that you can effectively partner with others to drive data-driven solutions.