At a Glance
- Tasks: Bridge the gap between traders and data engineers, supporting data infrastructure scaling.
- Company: Join a leading alternative investment manager in a dynamic London office.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Unique role with high visibility and influence in a successful business.
- Why this job: Make a real impact by translating trading strategies into actionable data solutions.
- Qualifications: Strong SQL & Python skills, stakeholder management experience, and market data knowledge.
The predicted salary is between 60000 - 80000 £ per year.
We have partnered with a highly successful alternative investment manager on a very exciting hybrid position where you will be given the opportunity to capitalise on both your commercial acumen and stakeholder management skills alongside your technical background & expertise. Sitting in their London office, you will be bridging the gap between the traders and the data engineering team to support the scaling data infrastructure of the firm.
Key responsibilities:
- Operate across the full data life cycle - from requirement gathering through delivery
- Gather and clarify business requests into actionable deliverables, partnering closely with the data engineering team to support implementation and delivery
- Ensure data products are implemented in line with architectural standards and principles
- Utilise market data and alternative datasets across multiple asset classes to translate complex trading strategies into scalable data engineering requirements, ensuring seamless delivery to the front office
Your background:
- Deep understanding of schemas, data modelling principles, query optimisation - working understanding of SQL & Python will be important
- Demonstrated experience in stakeholder management with front office - comfortable acting as the bridge between developers/engineers & traders
- Extensive experience working with market data/alternative datasets across multiple asset classes (ideally with vendors like Bloomberg or Refinitiv/LSEG), experience working across structured & unstructured datasets
- Understanding data normalization and de-normalization challenges when integrating multiple vendors and internal systems
- Experience with equities & fixed-income asset classes (buy or sell-side)
This role is not suitable for someone who is strictly technical or engineering-only focused, nor is it relevant for a pure functional/delivery-focused Business Analyst. This is a hybrid role, where you will need to utilise your technical background in order to sit with traders, understand their priorities, and feed this back to our data engineers. This is a very unique opportunity to sit in a high-impact role in a hugely successful business.
Senior Technical Business Analyst in Slough employer: Goodman Masson
As a Senior Technical Business Analyst at our prestigious alternative investment management firm in London, you will thrive in a dynamic and collaborative work culture that values innovation and professional growth. We offer competitive benefits, including flexible working arrangements, and a commitment to employee development, ensuring you have the resources and support to excel in your role while bridging the gap between traders and data engineers in a high-impact environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical Business Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in similar roles. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to the role. Think about how your experience with data modelling and stakeholder management can shine through. We want you to show off your skills confidently!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you on their radar and shows your enthusiasm for the position.
✨Tip Number 4
Apply directly 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 with us directly.
We think you need these skills to ace Senior Technical Business Analyst in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Technical Business Analyst role. Highlight your experience in stakeholder management and data engineering, as well as any relevant technical skills like SQL and Python.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this hybrid role. Share specific examples of how you've bridged the gap between traders and technical teams in the past, and show off your commercial acumen.
Showcase Your Technical Knowledge:Don’t shy away from discussing your understanding of data modelling principles and market data. We want to see how you can apply your technical background to real-world scenarios, especially in relation to equities and fixed-income asset classes.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Goodman Masson
✨Know Your Data Inside Out
Make sure you brush up on your understanding of schemas, data modelling principles, and query optimisation. Be ready to discuss how you've used SQL and Python in past projects, as this will show your technical expertise and ability to bridge the gap between traders and engineers.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your experience in stakeholder management, especially with front office teams. Think about times when you successfully translated complex requirements into actionable deliverables, as this will demonstrate your ability to communicate effectively across different teams.
✨Familiarise Yourself with Market Data
Get comfortable discussing market data and alternative datasets, particularly if you've worked with vendors like Bloomberg or Refinitiv. Being able to talk about your experience with both structured and unstructured datasets will set you apart and show your versatility in handling various asset classes.
✨Understand the Hybrid Nature of the Role
This position requires a blend of technical and functional skills, so be prepared to explain how you can balance both aspects. Highlight experiences where you've had to sit with traders to understand their priorities and then relay that information back to data engineers, showcasing your unique ability to operate in a hybrid role.
