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- Tasks: Design and implement quantitative models for trading strategies in a dynamic financial environment.
- Company: Goldman Sachs is a leading global investment banking and securities firm with a commitment to diversity.
- Benefits: Enjoy professional growth opportunities, wellness programs, and a supportive work culture.
- Why this job: Join a team that values innovation and collaboration while making impactful decisions in finance.
- Qualifications: Advanced degree in a relevant field and strong programming skills required; 4+ years of experience preferred.
- Other info: Remote work options and a focus on personal development make this role unique.
The predicted salary is between 43200 - 72000 £ per year.
The Quantitative Engineer will be responsible for the design, development, and implementation of quantitative models and algorithms for a financial services company. This individual will work closely with portfolio managers and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making.
Key Responsibilities:
- Develop and implement quantitative models and algorithms to support trading and investment strategies.
- Collaborate with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making.
- Lead the development of proprietary models and algorithms to support the company's trading and investment strategies.
- Communicate results and findings to stakeholders in a clear and concise manner.
- Stay current with industry developments and new technologies.
Qualifications:
- Advanced degree in a related field such as Mathematics, Physics, Computer Science, Financial Engineering or a related field.
- Strong programming skills in at least one language such as Python, R, C++ or Java.
- Strong understanding of mathematical and statistical concepts, especially in finance.
- Strong problem-solving skills and the ability to think critically.
- Excellent communication skills and the ability to work well in a team environment.
- Strong experience in financial markets, risk management and time series analysis.
Experience:
- Minimum of 4+ years of experience in a quantitative role in a financial services company.
- Experience with financial modelling or in the financial industry is a must.
- Background in equity or credit preferred.
- Full stack development or Secdb/Slang experience preferred.
Contact Detail:
Quality Control Specialist - Pest Control Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineer - Vice President - AMD Private - London
✨Tip Number 1
Make sure to brush up on your programming skills, especially in Python, R, C++, or Java. Being proficient in these languages will not only help you in the role but also impress the hiring managers during discussions.
✨Tip Number 2
Stay updated with the latest trends and technologies in quantitative finance. This knowledge will allow you to engage in meaningful conversations with portfolio managers and demonstrate your commitment to the field.
✨Tip Number 3
Network with professionals in the financial services industry, particularly those who work in quantitative roles. Attend relevant conferences or webinars to make connections that could lead to referrals or insider information about the job.
✨Tip Number 4
Prepare to discuss your previous experiences in quantitative roles, focusing on specific projects where you developed models or algorithms. Be ready to explain your thought process and the impact of your work on decision-making.
We think you need these skills to ace Quantitative Engineer - Vice President - AMD Private - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative roles, particularly in financial services. Emphasise your programming skills in languages like Python or R, and showcase any experience with financial modelling.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Quantitative Engineer position at Goldman Sachs. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work collaboratively with stakeholders.
Highlight Relevant Qualifications: Clearly outline your advanced degree and any certifications related to mathematics, finance, or computer science. This will help demonstrate your strong foundation in the necessary concepts for the role.
Showcase Communication Skills: Since the role requires clear communication of results to stakeholders, include examples in your application that illustrate your ability to convey complex information effectively, whether through presentations, reports, or team collaborations.
How to prepare for a job interview at Quality Control Specialist - Pest Control
✨Showcase Your Technical Skills
As a Quantitative Engineer, you'll need to demonstrate your strong programming skills. Be prepared to discuss your experience with languages like Python, R, C++, or Java. Consider bringing examples of your work or projects that highlight your technical abilities.
✨Understand Financial Concepts
Make sure you have a solid grasp of mathematical and statistical concepts, especially as they relate to finance. Brush up on key topics such as financial modelling, risk management, and time series analysis, as these will likely come up during the interview.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios that test your critical thinking skills. Practice articulating your thought process clearly and concisely, as this will be crucial in demonstrating your analytical capabilities to the interviewers.
✨Communicate Effectively
Strong communication skills are essential for this role. Be ready to explain complex quantitative models and algorithms in a way that non-technical stakeholders can understand. Practise summarising your findings and results succinctly.
