The Operations Analyst (Data Scientist) position at the International Finance Corporation (IFC) involves leveraging data science to enhance decision-making within investment operations. The role requires collaboration with various stakeholders to translate complex business problems into impactful data solutions. Candidates will work with both structured and unstructured data, employing advanced analytical techniques and machine learning. The position is based in Washington, DC, and aims to drive operational excellence through innovative data-driven insights.
Candidate Requirements:
Master's degree in Computer Science, Data Science, Engineering, Statistics, Economics, or related field
Minimum of 2 years of relevant experience in data science solutions for investment operations
Understanding of financial concepts and data science applications in finance
Strong analytical skills and ability to evaluate data
Experience with Python, R, and SQL
Knowledge of cloud technologies, preferably Azure and AWS
Aptitude for learning new technologies in Data Science
Self-starter with high responsiveness
Knowledge of data privacy and compliance standards
Ability to work collaboratively in diverse environments
Strong communication skills in English
Operations Analyst (Data Scientist)
Job #:
req36732
Organization:
IFC
Sector:
Operations
Grade:
GE
Term Duration:
3 years 0 months
Recruitment Type:
Local Recruitment
Location:
Washington, DC,United States
Required Language(s):
English
Preferred Language(s):
Closing Date:
6/2/2026 (MM/DD/YYYY) at 11:59pm UTC
Description
Build a career with impact. Working at the World Bank Group (WBG) provides a unique opportunity to help countries solve their greatest development challenges. As one of the largest sources of funding and knowledge for developing countries, the WBG is a unique partnership of five global institutions dedicated to ending poverty, increasing shared prosperity, and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, the WBG works with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges.
The International Finance Corporation (IFC), a member of the World Bank Group, is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities in developing countries. In fiscal year 2025, IFC committed a record $71.7 billion to private companies and financial institutions in developing countries, leveraging private sector solutions, and mobilizing private capital to create a world free of poverty on a livable planet. For more information, visit: https://www.ifc.org.
IFC’s Operations Management Department (COM) drives operational excellence by strengthening how investment operations are designed, managed, and delivered. The department focuses on improving efficiency, decision making, and scalability across the full investment lifecycle, enabling teams to deliver greater impact under increasingly complex and resource-constrained environments. COM works across functions to modernize policies and procedures, business processes, enhance data and analytics, support digital and system transformation, and promote proactive operations management practices. Through close collaboration with operational teams, the department helps translate strategy into practical solutions that improve delivery speed, quality, and risk management.
The Analytics, Reporting & Data Enablement (COMAR) division serves as the corporation’s center of excellence, responsible for managing IFC’s analytics and reporting platforms, leading management reporting and corporate performance monitoring, building AI-enabled analytics and insights, coordinating IFC’s data governance body and program, managing portfolio solutions and outsourced operations, and delivering data literacy and engagement programs.
Duties and Accountabilities
COMAR is seeking a qualified candidate to join the Portfolio Intelligence (PI) team, a cross-divisional data science initiative within the COM department that brings together data scientists from across divisions to collaborate on innovative AI and Machine Learning solutions. The PI team leverages IFC's extensive investment data - both historical and current, structured and unstructured - to uncover valuable insights and enhance decision-making quality.
Key tasks and responsibilities include:
• Gain a deep understanding of IFC’s Investment Operations business processes and data to deliver innovative solutions
• Partner with business and technical stakeholders across the organization to translate challenging business problems into impactful data science solutions
• Recommend and pursue data science solutions to discover business insights and enable business functions to be data-driven.
• Collaborate with data engineers, data stewards, product owners, and business users to support projects through the end-to-end data science lifecycle, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment
• Leverage a diverse set of structured and unstructured data to derive meaningful insights and information sets for modeling
• Communicate complex analytical work to a variety of technical and non-technical stakeholders
• Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications for ML/AI
• Demonstrate strong interpersonal skills and a desire to work in teams in fast-paced work environments
• Manage multiple concurrent projects that require inputs from stakeholders while balancing impact on business needs
• Collaborate effectively with IT for technology, tools, data engineering, and platforms
• Ensure adherence to data governance policies, standards, and procedures
Selection Criteria
• Master's degree from an accredited college/university in Computer Science, Data Science, Engineering, Statistics, Economics, Information Systems, or related field.
• Minimum of 2 years of relevant experience in building data science solutions for investment operations or asset management topics, ideally in the private sector
• Demonstrated understanding of financial concepts and application of data science in financial, corporate, or investment operations domains.
• Strong analytical skills to critically evaluate gathered data and the ability to link or associate with other datasets and data needs.
• Knowledge and experience in scripting and programming with Python, R, and SQL
• Knowledge and experience with relevant technologies, preferably in cloud environment and tools provided within Azure and AWS, including Databricks.
• Aptitude for learning and applying new technologies related to Data Science and Data Management.
• Demonstrated self-starter with a high degree of responsiveness and proactivity.
• Preferred knowledge and adherence to data privacy and compliance standards or industry-specific regulations.
• Ability to work collaboratively in a fast-paced, internationally diverse work environment; strong interpersonal skills are essential.
• Strong written and spoken communication skills in English; ability to communicate ideas clearly and confidently, articulate issues and recommend solutions.
• Commitment to maintain the highest ethical standards.
WBG Culture Attributes:
1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders. 2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact. 3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.
The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC including our values and inspiring stories.
At Impactpool we do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify. Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.
Summary by Impactpool
The Operations Analyst (Data Scientist) position at the International Finance Corporation (IFC) involves leveraging data science to enhance decision-making within investment operations. The role requires collaboration with various stakeholders to translate complex business problems into impactful data solutions. Candidates will work with both structured and unstructured data, employing advanced analytical techniques and machine learning. The position is based in Washington, DC, and aims to drive operational excellence through innovative data-driven insights.
Candidate Requirements:
Master's degree in Computer Science, Data Science, Engineering, Statistics, Economics, or related field
Minimum of 2 years of relevant experience in data science solutions for investment operations
Understanding of financial concepts and data science applications in finance
Strong analytical skills and ability to evaluate data
Experience with Python, R, and SQL
Knowledge of cloud technologies, preferably Azure and AWS
Aptitude for learning new technologies in Data Science
Self-starter with high responsiveness
Knowledge of data privacy and compliance standards
Ability to work collaboratively in diverse environments
Strong communication skills in English
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