ET Temporary

Job Posting Organization:
The World Bank Group is a prominent global institution dedicated to providing funding and knowledge to developing countries. Established with a mission to eradicate extreme poverty and promote shared prosperity, it comprises five institutions and has 189 member countries. The organization operates over 120 offices worldwide, collaborating with both public and private sector partners to invest in innovative projects and utilize data, research, and technology to tackle pressing global challenges. More information can be found at www.worldbank.org.

Job Overview:
The ET Temporary position within the World Bank's Treasury sector is designed for individuals looking to contribute to a vital area of financial operations. The Treasury is responsible for managing a substantial portfolio of assets, leading financing programs, and conducting asset and liability management. The role involves working closely with the Treasury Operations Department, which supports various operational functions including cash management, banking operations, and data analytics. The incumbent will be expected to engage in data engineering, visualization, and machine learning to enhance operational workflows and decision-making processes. This position requires a proactive approach to problem-solving and collaboration with teams across different geographical locations, including Washington D.C. and Sofia, Bulgaria.

Duties and Responsibilities:
The primary responsibilities of the incumbent include collaborating with the Treasury Banking Operations (TREBK) team to adopt new technologies and automations. This includes building data analytics, reports, and dashboards from a Dremio data lake. The role also involves data engineering tasks such as utilizing Python, SQL, and ETL processes to prepare data for analysis. The candidate will design and implement data visualization solutions using tools like Power BI and Tableau, and develop predictive models using machine learning techniques. Additional responsibilities include creating programming-based tools for data transformation, training team members, and ensuring compliance with World Bank IT infrastructure and security" style="border-bottom: 1px dotted #007bff !important;">security requirements. The candidate may also be required to work in shifts that align with Singapore or London time zones and observe the US holiday calendar as needed.

Required Qualifications:
Candidates must possess a Bachelor’s degree or equivalent in Finance, Data Science, Technology, or a related field, along with at least one year of relevant professional experience in the FinTech domain. Technical skills in data analytics and programming are essential, particularly in Dremio, SQL, and Python. Experience with data analytics platforms such as Tableau and Microsoft Power Platforms is also required. Proven experience with large datasets, cloud environments, and optimizing SQL queries is necessary, along with a strong background in data engineering and statistical analysis. Excellent communication and collaboration skills are crucial for success in this role.

Educational Background:
A Bachelor’s degree or equivalent in a relevant field such as Finance, Data Science, or Technology is required for this position. This educational background should provide a solid foundation in analytical skills and technical knowledge necessary for the role.

Experience:
The position requires a minimum of one year of relevant professional experience in the FinTech domain. Candidates should have hands-on experience in data analytics, programming, and working with large-scale datasets. Experience in developing data visualizations and implementing machine learning techniques is also essential.

Languages:
The mandatory language for this position is English. While no additional languages are specified as preferred, proficiency in other languages may be beneficial in a diverse workplace.

Additional Notes:
This is a temporary position with a term duration of one year, subject to renewal at the discretion of the World Bank Group. The role is classified under local recruitment, meaning preference will be given to candidates authorized to work in India. The selected candidate will be expected to work from the office in Chennai and comply with the World Bank Group's return-to-office guidelines. The position may require working on designated holidays to meet reporting deadlines, and the candidate should be prepared to work in shifts that align with international time zones.