【ブルームバーグ】Senior Data Analyst - Sovereign Debt
仕事内容
We’ll Trust You To
Use your knowledge in fixed income and a curiosity about sovereign debt specifically to help increase the value of the data set
Develop an understanding about data quality standard processes
Liaise with treasuries and central banks to ensure the debt securities they issue are added timely and accurately on Bloomberg
Effectively collaborate with other internal groups, such as Product, Engineering and News on dataset product development initiatives
Develop expertise in local sovereign debt markets across the Asia Pacific region with a particular focus on Japan
Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement solutions to improve our processes/overall product strategy
Collaborate with Sales to promote sovereign debt data using the relevant domain expertise, and use knowledge gained from client interactions to improve the dataset
Assist our world-renowned client support help desk with client inquiries related to sovereign debt
Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions
応募資格(必須経験など)
You’ll Need To Have
4+ years of experience working with financial data, preferably within the Fixed income asset class
Fluency in both spoken and written English and Japanese
Proven data management experience such as running data quality initiatives, coordinating data governance, implementing standard processes 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
Experience working a high degree of autonomy and handling priorities from multiple internal and external partners
Proven track record to take a logical approach and apply critical thinking skills in order to tackle problems
Strong collaboration skills and experience working as part of a multi-location team
We’d Love To See
Project management experience, particularly in Agile framework
Knowledge of statistical analysis