Senior Data Analytics Specialist
5 days ago
Our Team: In 2023, US Money Market Funds (MMF) held $6.1 trillion in AUM and Non-US MMFs held an additional $1.2 trillion in AUM. This is a growing market given the increased rates environment and fund inflows have reached all time levels. As a result, we have seen higher demand for this data from clients and are creating a new dedicated global Money Markets data team to address the opportunities in this space.
What's the Role?
As a Data Analyst with our team, you will be responsible for the acquisition, maintenance and quality assurance of money markets instruments data. This will entail engagement with Issuers and Dealers to source and validate data, close collaboration with the data engineers on the team to ensure automated processes work as expected, provide support to clients with complex data queries and work on various data quality and data modelling projects. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients stay on top of developments within Money Markets globally.
You're the type of person who looks beyond the headline with a keen eye for detail because you know how data inspires market trends, breaking news, and analysis. With ever growing coverage and demand for timely data, you will be responsible for handling priorities of different initiatives and for applying industry knowledge to help drive decisions and generate new dataset offerings. You will need to know your customer, their challenges, and their workflows. With this insight, you will bring creative ideas to the table on how we can make our data integration flawless and more efficient.
We'll trust you to:
- To have knowledge in Fixed income and an interest in Money Markets specifically
- Have experience working with data and have an understanding about data quality best practices
- Liaise with Clearing Houses, Central Banks, Exchanges, Dealers and Issuers to ensure comprehensive and accurate data offering
- Effectively collaborate with other internal departments, such as but not limited to Product, Engineering and News on dataset product development initiatives
- Develop expertise in local markets across the Asia-Pacific region
- Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement solutions to enhance our processes/overall product strategy
- Collaborate with Sales to promote Money Markets data using the relevant subject matter expertise, and use knowledge gained from client interactions to improve the dataset
- Assist our world-renowned client support help desk with client inquiries
- Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions
You'll need to have:
- Minimum 4+ years of experience working with financial data, preferably within the Fixed income asset class.
- Demonstrated data management experience such as running data quality initiatives, overseeing data governance, implementing best practices with regards to data acquisition and updates.
- Experience in client engagement and excellent written and verbal communication skills especially when explaining technical processes and solutions to business partners and management. Proficiency in English.
- A bachelor's degree or higher in data technology or financial field, or degree-equivalent qualification
- Become comfortable with a high degree of autonomy and handling priorities from multiple internal and external partners
- Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems
- Collaboration skills and experience working as part of a multi-location team
We'd love to see:
- Project management experience, particularly in Agile framework
- Interest in technology
- Knowledge of statistical analysis and proven applied data analysis skills, with proficiency using Excel. Experience in SQL and/or Python is a plus.
- Strong communication and interpersonal skills
If this sounds like you: Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
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