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- Tasks: Automate portfolio monitoring and create impactful dashboards for real-time insights.
- Company: Join a leading financial services firm shaping capital markets strategy.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by uncovering trends and influencing strategic decisions.
- Qualifications: 2+ years in data analytics, strong SQL and Python skills, and a relevant degree.
- Other info: Collaborative environment with a focus on continuous learning and innovation.
The predicted salary is between 45000 - 55000 £ per year.
As a Capital Market Data Analyst, you will play a pivotal role in shaping the future of the organisation’s capital markets strategy. Your day-to-day activities will centre around automating complex portfolio monitoring tasks through innovative dashboard creation while collaborating with cross-functional teams to ensure seamless data integration. You will be responsible for uncovering critical trends in large datasets and translating these into clear insights for senior leadership.
Must have:
- Demonstrated experience of at least two years in data analytics roles within the finance or fintech sector, showcasing your ability to handle complex datasets relevant to capital markets.
- A strong academic background with at least a Bachelor’s degree in Mathematics, Engineering, Statistics, Computational Finance or an equivalent discipline that underpins your analytical approach.
- Proven hands-on expertise with SQL for querying databases efficiently as well as Python for advanced data manipulation tasks.
- Practical experience using leading data visualisation tools such as Tableau to create impactful dashboards that inform business decisions.
- Familiarity with dbt (Data Build Tool) would be advantageous but is not essential; willingness to learn new technologies is valued.
Responsibilities:
- Automate portfolio monitoring processes by designing and implementing dashboards using advanced visualisation tools to provide real-time insights.
- Identify emerging trends within capital markets data sets and effectively communicate actionable insights to senior executives for strategic decision-making.
- Collaborate closely with data engineering teams to build robust database tables that enable seamless automation of reporting workflows.
- Assess the performance of underlying capital mandates by conducting thorough analysis and presenting findings to key stakeholders.
- Develop detailed financial analyses and cashflow models that support capital allocation strategies and optimise portfolio management decisions.
- Work cross-functionally with finance, technology, and product teams to ensure accurate data integration and alignment with business objectives.
- Contribute to the continuous improvement of data quality standards by establishing best practices in data governance and validation.
- Support the implementation of new analytical methodologies that enhance forecasting accuracy and risk assessment capabilities within the capital markets function.
- Participate in regular reviews of portfolio performance metrics, providing recommendations for process enhancements based on quantitative evidence.
- Engage in knowledge sharing sessions with colleagues to promote collaborative problem-solving and foster a culture of learning.
Capital Market Data Analyst employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Capital Market Data Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and fintech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past roles, especially in automating tasks or creating dashboards that made an impact.
✨Tip Number 3
Showcase your data visualisation skills! Bring examples of dashboards you've created using Tableau or similar tools to your interviews. This will help you stand out and demonstrate your ability to translate complex data into clear insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Capital Market Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially within finance or fintech. We want to see how your skills align with the role of a Capital Market Data Analyst, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about capital markets and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role requires SQL and Python expertise, make sure to mention specific projects where you’ve used these tools. If you’ve created dashboards with Tableau, share that too! We’re keen to see your hands-on experience in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Robert Walters UK
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to capital markets. Brush up on your SQL and Python skills, as you'll likely be asked to demonstrate your ability to manipulate data during the interview. Prepare examples of how you've used these tools in past roles to solve complex problems.
✨Showcase Your Dashboard Skills
Since creating impactful dashboards is a key part of the role, come prepared with examples of your previous work using Tableau or similar tools. Be ready to discuss the thought process behind your designs and how they contributed to decision-making in your past positions.
✨Communicate Insights Clearly
You’ll need to translate complex data into actionable insights for senior leadership. Practice explaining your findings from past analyses in a clear and concise manner. Use storytelling techniques to make your insights relatable and impactful.
✨Emphasise Collaboration
This role involves working closely with cross-functional teams, so highlight your experience in collaborative projects. Be prepared to discuss how you’ve worked with finance, technology, and product teams to achieve common goals, and share any specific examples of successful teamwork.
