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- Tasks: Lead the strategy and development of FX data products while ensuring client satisfaction.
- Company: Join a top-tier company known for its innovative data solutions in the financial sector.
- Benefits: Enjoy an attractive compensation package and hybrid work options for better work-life balance.
- Why this job: Be part of a dynamic team driving impactful data solutions with a focus on innovation and quality.
- Qualifications: Degree in Data Science or related field with 5+ years in data management, preferably in finance.
- Other info: Opportunity to mentor a team and engage directly with clients, enhancing your leadership skills.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking a seasoned Senior Data Product Manager to lead the strategy, development, and delivery of FX data products. This client-facing role requires deep expertise in data governance, integration, and analytics, with strong collaboration across product, technology, and commercial teams. The ideal candidate will drive data quality initiatives, support client engagement, and lead a team focused on delivering high-impact data solutions.
Key Responsibilities:
- Lead the development and strategy of FX data products, ensuring client value and business alignment.
- Drive data quality through governance policies, automated checks, and issue resolution.
- Oversee data integration, storage, and pipeline optimization with technology teams.
- Act as the FX data product expert, supporting internal teams and engaging with clients.
- Translate business needs into actionable data solutions and ensure timely delivery.
- Maintain regulatory compliance and implement data security best practices.
- Manage and mentor a team of analysts, promoting innovation and continuous improvement.
Qualifications:
- Degree in Data Science, Computer Science, Finance, or a related field.
- 5+ years of experience in data management, preferably within financial services and FX.
- Strong command of data governance and quality management principles.
- Proficiency in SQL and visualization tools (e.g., Tableau, Power BI).
- Familiarity with Python or R and time-series databases.
- Strong problem-solving, communication, and leadership skills.
Preferred Skills:
- Experience with cloud platforms (e.g., AWS, Azure).
- Knowledge of machine learning techniques.
- Understanding of FX markets and instruments.
- Experience in end-to-end data product lifecycle management.
This is a fantastic opportunity to join a company with one of the best products in the market.
Senior Data Product Manager - FX Data employer: iO Associates - UK/EU
Contact Detail:
iO Associates - UK/EU Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Product Manager - FX Data
✨Tip Number 1
Familiarise yourself with the latest trends in FX data products and financial services. This will not only help you understand the market better but also allow you to engage in informed discussions during interviews, showcasing your expertise and passion for the field.
✨Tip Number 2
Network with professionals in the data management and FX sectors. Attend industry events or webinars where you can meet potential colleagues or mentors. Building these connections can provide valuable insights and may even lead to referrals for the position.
✨Tip Number 3
Brush up on your SQL and visualisation skills, especially with tools like Tableau and Power BI. Consider working on personal projects or contributing to open-source initiatives that demonstrate your ability to handle data effectively, as practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your leadership style and experiences managing teams. Think of specific examples where you've driven data quality initiatives or mentored team members, as this role requires strong leadership skills and the ability to foster innovation within a team.
We think you need these skills to ace Senior Data Product Manager - FX Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, particularly within financial services and FX. Emphasise your expertise in data governance, integration, and analytics, as these are key for the role.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your understanding of FX data products and how your background aligns with the responsibilities outlined in the job description. Mention specific achievements that demonstrate your leadership and problem-solving skills.
Showcase Technical Skills: Be explicit about your proficiency in SQL, visualisation tools like Tableau or Power BI, and any experience with Python or R. Providing examples of how you've used these skills in past roles can strengthen your application.
Highlight Team Leadership Experience: Since the role involves managing and mentoring a team, include examples of your leadership experience. Discuss how you've promoted innovation and continuous improvement in previous positions to show you can drive a team effectively.
How to prepare for a job interview at iO Associates - UK/EU
✨Showcase Your Data Expertise
As a Senior Data Product Manager, it's crucial to demonstrate your deep understanding of data governance and analytics. Be prepared to discuss specific examples from your past experience where you successfully managed data quality initiatives or led data integration projects.
✨Understand the FX Market
Familiarise yourself with the fundamentals of FX markets and instruments. During the interview, be ready to articulate how your knowledge of these areas can contribute to the development of high-impact data solutions that align with client needs.
✨Highlight Leadership Skills
Since this role involves managing and mentoring a team, emphasise your leadership experience. Share instances where you've promoted innovation and continuous improvement within your team, showcasing your ability to drive results through collaboration.
✨Prepare for Technical Questions
Expect technical questions related to SQL, data visualisation tools, and possibly Python or R. Brush up on your skills and be ready to discuss how you've used these tools in previous roles to solve complex data challenges.
