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- Tasks: Lead the quant research team to develop advanced analytics and pricing solutions.
- Company: Join BlueCrest, a top-performing fund known for innovation in finance.
- Benefits: Enjoy a collaborative environment with minimal bureaucracy and a focus on technology.
- Why this job: Be at the forefront of trading enhancements and quantitative solutions in a dynamic market.
- Qualifications: 5+ years in quant research leadership; expertise in C# or C++ required.
- Other info: BlueCrest values diversity and offers equal opportunities for all.
The predicted salary is between 72000 - 108000 £ per year.
Job Title: Head of Quant Research Location: London Department: Front Office Technology Permanent Department Overview: The front office technology & quant research group are responsible for building out the business’ cross asset analytics library, risk and pricing applications and market data technology solutions. Role Overview: This is an exciting opportunity to Lead the centralized quant research group in one of the strongest performing funds in the world. Focusing on building out quantitative solutions in collaboration with the trading desks. As Blue Crest continues to expand its trading presence both globally and across more market sectors, there is a desire to build out more sophisticated centralised quantitative solutions and market analysis tools. The group is responsible for developing the core quant library, which is used by all structuring and risk analysis tools used in the firm. The group also manage real time curve and vol surface calibration platforms which when combined with the market data platform allows point in time model pricing and sophisticated timeseries analysis to be performed. The role will require management experience along with a proven track record of delivering quant solutions as part of a team. The successful candidate will be responsible for implementing clean robust solutions in our core analytic framework and work collaboratively as part of a larger group wide development team, to deliver new functionality to the desks. This is an excellent opportunity for a delivery focused individual with a passion for technology and financial markets, working directly on trading enhancements without any bureaucracy or politics. Experience required: 5+ Years leading a quant research team, maintaining quant libraries, and building curve and volatility pricing models. Essential : C# or C++. Desirable : Vertica, Python, Excel, VBA, Fixed income, Derivatives. About You: In this role you must have a solid understanding of financial modelling and implementing these models, plus excellent task and team management skills. Managers in the department are expected to remain hands on, spending at least 70% of their time delivering on new functionality. This is a highly technical role, requiring the ability to understand the business and deliver re-usable functions within the core data and quant library frameworks. Delivery is key in this role as is the ability to balance rapid BAU change whilst progressing with longer term strategic development. BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality. #J-18808-Ljbffr
Head of Quant Research employer: BlueCrest Capital Management
Contact Detail:
BlueCrest Capital Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Quant Research
✨Tip Number 1
Make sure to showcase your leadership experience in quant research. Highlight specific projects where you led a team to deliver quant solutions, as this role emphasizes management skills alongside technical expertise.
✨Tip Number 2
Familiarize yourself with the latest trends in financial modeling and quantitative analysis. Being able to discuss recent developments or tools in the industry during your conversations will demonstrate your passion and knowledge.
✨Tip Number 3
Network with professionals in the quant finance space. Attend relevant conferences or meetups to connect with others in the field, which can provide insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your hands-on experience with C# or C++. Since this is a highly technical role, being able to articulate your coding skills and how you've applied them in previous roles will be crucial.
We think you need these skills to ace Head of Quant Research
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Head of Quant Research position. Familiarize yourself with the key aspects of quant research, financial modeling, and the technologies mentioned in the job description.
Tailor Your CV: Customize your CV to highlight your experience leading quant research teams, maintaining quant libraries, and building pricing models. Emphasize your technical skills in C# or C++, as well as any relevant experience with Python, Excel, or derivatives.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and financial markets. Discuss your management experience and how you have successfully delivered quant solutions in previous roles. Make sure to connect your skills and experiences directly to the job description.
Highlight Team Management Skills: In your application, emphasize your task and team management skills. Provide examples of how you have led teams effectively and delivered results in a fast-paced environment, as this is crucial for the role.
How to prepare for a job interview at BlueCrest Capital Management
✨Showcase Your Leadership Experience
Make sure to highlight your experience in leading quant research teams. Discuss specific projects where you successfully managed a team and delivered quant solutions, emphasizing your ability to balance hands-on work with team management.
✨Demonstrate Technical Proficiency
Be prepared to discuss your technical skills in C# or C++. Provide examples of how you've used these languages to build curve and volatility pricing models. If you have experience with Python, Excel, or VBA, mention those as well, as they are desirable skills for the role.
✨Understand Financial Modelling
Show that you have a solid understanding of financial modelling. Be ready to explain how you've implemented these models in past roles and how they contributed to the success of your projects.
✨Emphasize Delivery Focus
Since delivery is key for this role, share examples of how you've successfully delivered new functionality in previous positions. Discuss how you manage rapid changes while also focusing on long-term strategic development.
