At a Glance
- Tasks: Collaborate with teams to develop and implement scalable financial models.
- Company: Join a leading Centre of Excellence in financial analytics and engineering.
- Benefits: Enjoy hybrid work, competitive pay, and opportunities for innovation.
- Why this job: Be part of a dynamic team driving financial insights and strategic decision-making.
- Qualifications: Experience in software engineering, Python, and cloud technologies required.
- Other info: 6+ month contract with potential for growth in a fast-paced environment.
The predicted salary is between 80000 - 120000 £ per year.
Location: Hybrid London 2 days per week
Length: 6+ months
Rate: up to £1,091 via umbrella
Role Purpose
Analytics, Digital & Architecture (ADA), within Global Finance, is a Centre of Excellence responsible for shaping the future of financial analytics and engineering, driving innovation, and delivering insights that support strategic decision-making. The ADA team develops high-quality models, analytics capabilities, and innovative solutions, ensuring seamless deployment, best practices in Model Governance, and ongoing monitoring. The team also supports business and technical architecture developments. We are seeking a Financial Engineer to support these initiatives, working closely with modelling teams to understand and implement models efficiently and scalably, supporting CI/CD pipelines, testing, and business-as-usual operations.
Principal Accountabilities
- Collaborate with modelling teams to understand models in detail.
- Support model development within software engineering standards.
- Ensure models are efficient and scalable.
- Implement CI/CD pipelines for stable deployments.
- Assist with testing and BAU support during model delivery.
- Automate and streamline software development processes to enhance efficiency and reduce risks.
- Work with stakeholders to translate requirements into technical solutions aligned with business goals.
- Maintain knowledge of software engineering best practices, cloud technologies, and financial markets.
- Troubleshoot and resolve technical challenges.
- Manage time effectively to meet project deadlines.
- Communicate technical concepts clearly to diverse audiences.
Required Skills and Experience
- Software Engineering: Experience in designing, developing, and deploying software applications. Understanding of SDLC methodologies. Proficiency in Python, including web frameworks. Experience with APIs, microservices, DevOps, CI/CD pipelines, Docker, Kubernetes. Experience with large data processing and cloud technologies (Azure, AWS, GCP). Familiarity with C++ is a plus.
- Data & Analytics: Data manipulation and analysis skills.
- Problem-Solving & Communication: Ability to troubleshoot, develop solutions, and communicate effectively with technical and non-technical stakeholders.
Additional Skills
- Knowledge of financial markets and products is advantageous.
- Experience with automation tools and scripting languages is a plus.
Financial Engineer | London, UK employer: HSBC
Contact Detail:
HSBC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Engineer | London, UK
✨Tip Number 1
Familiarise yourself with the latest trends in financial analytics and engineering. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the finance and tech sectors, especially those working in roles similar to Financial Engineer. Attend industry meetups or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your technical skills, particularly in Python and cloud technologies like Azure or AWS. Consider working on personal projects or contributing to open-source initiatives to showcase your abilities and commitment to continuous learning.
✨Tip Number 4
Prepare to discuss how you've implemented CI/CD pipelines or automated processes in previous roles. Be ready to share specific examples that highlight your problem-solving skills and ability to work collaboratively with teams.
We think you need these skills to ace Financial Engineer | London, UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Financial Engineer position. Understand the key responsibilities and required skills, such as experience with Python, CI/CD pipelines, and cloud technologies.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your software engineering background, data manipulation skills, and any familiarity with financial markets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for financial engineering and your understanding of the role. Mention specific projects or experiences that demonstrate your ability to collaborate with modelling teams and implement scalable solutions.
Highlight Problem-Solving Skills: In your application, provide examples of how you've tackled technical challenges in previous roles. This will show your problem-solving abilities and your capacity to communicate effectively with both technical and non-technical stakeholders.
How to prepare for a job interview at HSBC
✨Understand the Role Inside Out
Make sure you thoroughly understand the responsibilities of a Financial Engineer. Familiarise yourself with the key accountabilities mentioned in the job description, such as collaborating with modelling teams and implementing CI/CD pipelines. This will help you answer questions confidently and demonstrate your genuine interest in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with software engineering, particularly in Python and cloud technologies like Azure or AWS. Highlight specific projects where you've designed, developed, or deployed applications, and be ready to explain how you approached challenges and implemented solutions.
✨Communicate Clearly
Since the role involves translating technical concepts to non-technical stakeholders, practice explaining complex ideas in simple terms. During the interview, focus on clarity and ensure that your communication style is adaptable to different audiences.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think of examples from your past experiences where you successfully troubleshot issues or developed innovative solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.