At a Glance
- Tasks: Own the product backlog and turn client needs into actionable specifications for engineers.
- Company: Fast-growing startup at the cutting-edge of quantum computing and financial services.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture that values curiosity and ownership, working directly with top executives.
- Why this job: Make a real impact by shaping innovative products in a high-growth tech space.
- Qualifications: Experience in product management, especially in fintech or trading, with a passion for AI.
The predicted salary is between 63000 - 77000 £ per year.
We are a fast-growing startup at the intersection of quantum computing and financial services, applying cutting-edge technology and innovative solutions to solve complex business problems for our clients. Our mission is to deliver real-world impact through high-quality product development, operational excellence, and strategic client engagement. We value collaboration, curiosity, and ownership, and are building a team that thrives in a fast-paced, high-growth environment.
We have more good ideas than we can build, engineers who need clearer inputs, and talented scientists designing the next generation of algorithms. We need you to own what gets built next and why. You will own the product backlog across our algorithmic trading and our quantum platform and products. What gets built, in what order, and the reasoning behind it. You will turn client conversations and internal direction into specifications engineering can build from without guesswork, hold the delivery process at each gate, and own user acceptance at the end of it. You will work directly with our COO, Head of Engineering and CEO, and you will have genuine say over what we build.
Key Responsibilities
- Own the product backlog across algo trading and the ecosystem platform, what gets built, in what order, and why.
- Turn client need and internal direction into specifications engineers can build from without coming back for clarification.
- Hold the delivery process at each gate, keeping work items moving cleanly through their lifecycle and maintaining the standard at each one.
- Own user acceptance, confirming that what we shipped is what was actually needed.
- Keep traceability from work item to plan to company objective, so we can see what our effort is buying.
- Work with our engineering lead and vendor teams to keep scope, sequence and capacity honest.
Ideal Experience
- Ownership of a product roadmap, including the sequencing decisions and the trade-offs behind them.
- Financial services, trading or fintech domain experience.
- Exposure to Quantum, Machine Learning, and Financial Market Trading (concepts, execution, positions, P&L, reconciliation).
- Interest in working with AI tooling as a core part of the job.
Product Business Analyst employer: Qubitra
At Qubitra, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of technology. As a remote employer, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth in the cutting-edge fields of quantum computing and AI. Join us to be part of a collaborative team where your contributions directly impact the future of technology and trading platforms.
StudySmarter Expert Advice🤫
We think this is how you could land Product Business Analyst
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Qubitra!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
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We think you need these skills to ace Product Business Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Qubitra, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Qubitra
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Qubitra’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
