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- Tasks: Join our Data Products team to analyse financial data and drive innovations in the financial services sector.
- Company: Be part of a high-calibre, mission-driven team at a leading financial services firm.
- Benefits: Enjoy flexible working options and gain valuable experience in a dynamic environment.
- Why this job: Make a real impact by enhancing financial wellness tools for the UK market while developing your analytical skills.
- Qualifications: Bachelor’s Degree with 2-4 years in product management, preferably in financial services.
- Other info: This is a 3-month contract; send your CV in Word format with your daily rate.
Our Client is seeking a Data Analyst for the Data Products team driving innovations in the Financial Services Sector using Big Data. The Client has a high-calibre, focused, and mission-driven team. The models we build and the analysis derived from financial data are crucial for cutting-edge business decisions made across global financial services firms every day, providing insight into real-world problems.
In this role, you will gain a deep understanding of income and expense transactions, financial classifications, and long-term financial management within the UK market. You will participate in customer and partner calls to review requirements and client needs. You will quickly understand how local income and expense calculations and financial management best practices can be leveraged to deliver financial wellness tools in the UK market.
This role will allow you to partner with analytics teams to review and enhance data categorization for key income and expense transactions, developing specifications for both rules-based and machine learning-driven enhancements to categorization by defining transaction types. You will also interact closely with the Financial Product team to provide requirements to localize the financial management tools for the UK market.
You will perform regular and ongoing analysis on consumer transactions to identify methods for improved categorization, testing and certifying enhancements, and validating performance metrics. You will also work with the Financial Wellness Product team to adapt their products for the UK market. This requires developing a deep understanding of the UK financial management space to create an ongoing UK roadmap with the rest of the Financial Product team.
Minimum Requirements:
- Must have a Bachelor’s Degree coupled with 2 – 4 years of experience in software-oriented Product Management, preferably in financial services.
- Experience in financial modelling and knowledge of the financial services and transactions.
- Experience/Interest in analysing data and a high attention to detail, especially in regards to data cleansing.
- Superb written & oral communication skills.
- Analytical skills with a background in financial analysis, understanding underlying business needs on both a market level and from individual clients/prospects.
- Adaptable and able to work successfully in a technical environment as a non-technical leader.
- Inquisitive and highly detail-oriented, focused on execution, and able to make definitive decisions in uncertain environments with limited data.
This is a 3-month contract assignment initially. Please send your CV to us in Word format along with your daily rate and availability.
Data Analyst with Big Data employer: Jas Gujral
Contact Detail:
Jas Gujral Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst with Big Data
✨Tip Number 1
Familiarise yourself with the latest trends in Big Data and financial services. Understanding how data analytics is transforming the financial sector will help you speak confidently about your insights during interviews.
✨Tip Number 2
Network with professionals in the financial services and data analytics fields. Attend industry events or join online forums to connect with people who can provide valuable insights and potentially refer you to opportunities.
✨Tip Number 3
Prepare to discuss specific examples of your experience with data analysis and financial modelling. Be ready to explain how you've used data to drive business decisions, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Showcase your adaptability and communication skills during interviews. Since the role requires working closely with both technical and non-technical teams, emphasise your ability to bridge gaps and facilitate collaboration.
We think you need these skills to ace Data Analyst with Big Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and financial services. Emphasise any specific projects or roles where you've worked with big data, financial modelling, or data cleansing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the financial services sector and your analytical skills. Mention how your background aligns with the requirements of the role and express your enthusiasm for contributing to the Data Products team.
Highlight Communication Skills: Since superb written and oral communication skills are essential, provide examples in your application that demonstrate your ability to communicate complex data insights clearly and effectively, especially in a collaborative environment.
Showcase Adaptability: In your application, illustrate your adaptability and experience working in technical environments. Share instances where you successfully led projects or made decisions with limited data, showcasing your problem-solving abilities.
How to prepare for a job interview at Jas Gujral
✨Understand the Financial Services Landscape
Before your interview, make sure you have a solid grasp of the financial services sector, especially in relation to Big Data. Familiarise yourself with current trends and challenges in the industry, as this will help you demonstrate your knowledge and enthusiasm for the role.
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis in previous roles. Highlight any experience you have with financial modelling and data cleansing, as these are crucial for the position. Use metrics to quantify your achievements where possible.
✨Communicate Clearly and Effectively
Since superb written and oral communication skills are essential, practice articulating your thoughts clearly. Be ready to explain complex data concepts in simple terms, as you may need to interact with non-technical stakeholders during your role.
✨Demonstrate Adaptability
The job requires working in a technical environment as a non-technical leader. Prepare to discuss situations where you've had to adapt quickly to changes or uncertainties. Show that you're inquisitive and detail-oriented, which are key traits for success in this role.
