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- Tasks: Lead data initiatives, define strategies, and deliver innovative solutions in investment banking.
- Company: Join a global financial institution at the forefront of data science and engineering.
- Benefits: Competitive daily rate, opportunity to work with cutting-edge technology, and potential for career growth.
- Why this job: Be part of transformative projects that impact trading and risk decisions in a dynamic environment.
- Qualifications: Extensive investment banking experience, proficiency in Databricks, Azure, Python, and AI expertise required.
- Other info: This role is inside IR35, ensuring compliance with tax regulations.
The predicted salary is between 72000 - 108000 £ per year.
Are you a proven leader in Data Science and Engineering with expertise in the Front Office of an investment bank? Can you define data strategies, engage with senior traders and quants, and deliver innovative solutions that drive trading and risk decisions? This is a unique opportunity to lead transformative data initiatives within a global financial institution.
Key Responsibilities:
- Strategic Leadership: Define the data vision for the Front Office, enhancing trading, pricing, and risk workflows.
- Data Solutions Delivery: Build scalable, Real Time analytics platforms using Databricks, Azure, Spark, and Delta Lake.
- Stakeholder Engagement: Collaborate with senior traders and quants to deliver data-driven insights and strategies.
- AI Integration: Apply AI and machine learning to optimise trading and provide predictive analytics.
- Team Leadership: Mentor and lead data engineers and scientists, fostering technical excellence.
- Data Governance: Ensure robust data quality, governance, and compliance in high-stakes environments.
Your Expertise:
- Front Office Experience: Extensive experience in investment banking with deep knowledge of trading workflows.
- Technical Mastery: Proficient in Databricks, Azure Data Factory, Python, Spark, and Delta Lake.
- Strategic Influence: Strong track record of engaging senior stakeholders and delivering impactful solutions.
- Advanced Analytics: Expertise in AI, machine learning, and Real Time data processing.
This is a fantastic opportunity to join a world class organisation at a critical time, make contact today to find out more.
Head of Data Science & Engineering - Investment Banking/Front Office/AI/Analytics - Inside IR35 employer: Nicoll Curtin Technology
Contact Detail:
Nicoll Curtin Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science & Engineering - Investment Banking/Front Office/AI/Analytics - Inside IR35
✨Tip Number 1
Network with professionals in the investment banking sector, especially those involved in data science and engineering. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in AI and analytics.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Databricks and Azure. Consider taking online courses or certifications to demonstrate your proficiency and commitment to staying current in these technologies.
✨Tip Number 3
Prepare to discuss your previous experiences in leading data initiatives, particularly in high-pressure environments like investment banking. Be ready to share specific examples of how you've engaged with senior stakeholders and delivered impactful solutions.
✨Tip Number 4
Stay updated on the latest developments in AI and machine learning as they relate to trading and risk management. Being knowledgeable about current trends will help you engage in meaningful conversations during interviews and showcase your expertise.
We think you need these skills to ace Head of Data Science & Engineering - Investment Banking/Front Office/AI/Analytics - Inside IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your leadership experience in Data Science and Engineering, particularly within the investment banking sector. Emphasise your technical skills with Databricks, Azure, and Python, as well as your ability to engage with senior stakeholders.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your vision for data strategies in the Front Office. Mention specific examples of how you've delivered innovative solutions that have driven trading and risk decisions in previous roles.
Showcase Relevant Projects: Include details of any relevant projects where you built scalable analytics platforms or applied AI and machine learning to optimise trading. This will demonstrate your hands-on experience and technical mastery.
Highlight Team Leadership Skills: Discuss your experience in mentoring and leading teams of data engineers and scientists. Provide examples of how you've fostered technical excellence and ensured data governance in high-stakes environments.
How to prepare for a job interview at Nicoll Curtin Technology
✨Showcase Your Leadership Skills
As a candidate for the Head of Data Science & Engineering, it's crucial to demonstrate your leadership capabilities. Prepare examples of how you've successfully led teams and projects in the past, particularly in high-pressure environments like investment banking.
✨Understand the Front Office Dynamics
Familiarise yourself with the specific workflows and challenges faced by the Front Office in investment banking. Be ready to discuss how your experience aligns with these dynamics and how you can enhance trading and risk workflows through data strategies.
✨Highlight Technical Proficiency
Make sure to emphasise your technical skills, especially in tools like Databricks, Azure, and Spark. Be prepared to discuss specific projects where you've applied these technologies to deliver real-time analytics solutions.
✨Engage with Stakeholders
Demonstrate your ability to engage with senior traders and quants effectively. Prepare to discuss how you've collaborated with stakeholders in the past to drive data-driven insights and strategies that have had a significant impact on business outcomes.
