About this role
Job details •Proposed designation Associate Consultant / Consultant, Digital Finance CoE •Role type Individual contributor •Reporting to Manager, Digital Finance CoE •Geo to be supported Across geos, primarily US/UK •Work timings Flexible hours
Responsibilities for Internal Candidates
Roles & responsibilities • •Utilize expertise in programming languages and database management systems (e.g., Python and SQL) to analyze complex datasets and generate insightful reports that enhance client finance operations. •Implement system configurations and develop finance-specific solutions that automate processes, improve data integrity, and support operational efficiency. •Design and create scripts and tools to automate routine tasks, focusing on optimizing finance operations—employ libraries such as Pandas and NumPy for data manipulation. •Develop, test, and deploy RESTful APIs using modern frameworks for seamless integration with financial systems and third-party applications, ensuring robust data exchange capabilities. •Work closely with cross-functional teams to identify opportunities for process improvements, effectively driving standardization and cost-efficiency in finance processes. •Contribute to the development of business strategies by supporting leadership in creating tailored technical solutions that align with market demands and enhance client-service delivery
Qualifications for Internal Candidates
Mandatory technical & functional skills •Proficient in Python for advanced data processing and analytics. •Strong knowledge of SQL for database management and querying. •Experience in creating RESTful APIs using Flask, Django REST Framework, or FastAPI. •Understanding of deploying applications in cloud environments like AWS or Azure. •Expertise in software design patterns, algorithms, and data structures #LI-SD1 #KGS
Job details •Proposed designation Associate Consultant / Consultant, Digital Finance CoE •Role type Individual contributor •Reporting to Manager, Digital Finance CoE •Geo to be supported Across geos, primarily US/UK •Work timings Flexible hours
Responsibilities for Internal Candidates
Roles & responsibilities • •Utilize expertise in programming languages and database management systems (e.g., Python and SQL) to analyze complex datasets and generate insightful reports that enhance client finance operations. •Implement system configurations and develop finance-specific solutions that automate processes, improve data integrity, and support operational efficiency. •Design and create scripts and tools to automate routine tasks, focusing on optimizing finance operations—employ libraries such as Pandas and NumPy for data manipulation. •Develop, test, and deploy RESTful APIs using modern frameworks for seamless integration with financial systems and third-party applications, ensuring robust data exchange capabilities. •Work closely with cross-functional teams to identify opportunities for process improvements, effectively driving standardization and cost-efficiency in finance processes. •Contribute to the development of business strategies by supporting leadership in creating tailored technical solutions that align with market demands and enhance client-service delivery
Qualifications for Internal Candidates
Mandatory technical & functional skills •Proficient in Python for advanced data processing and analytics. •Strong knowledge of SQL for database management and querying. •Experience in creating RESTful APIs using Flask, Django REST Framework, or FastAPI. •Understanding of deploying applications in cloud environments like AWS or Azure. •Expertise in software design patterns, algorithms, and data structures #LI-SD1 #KGS
Job details •Proposed designation Associate Consultant / Consultant, Digital Finance CoE •Role type Individual contributor •Reporting to Manager, Digital Finance CoE •Geo to be supported Across geos, primarily US/UK •Work timings Flexible hours
Responsibilities for Internal Candidates
Roles & responsibilities • •Utilize expertise in programming languages and database management systems (e.g., Python and SQL) to analyze complex datasets and generate insightful reports that enhance client finance operations. •Implement system configurations and develop finance-specific solutions that automate processes, improve data integrity, and support operational efficiency. •Design and create scripts and tools to automate routine tasks, focusing on optimizing finance operations—employ libraries such as Pandas and NumPy for data manipulation. •Develop, test, and deploy RESTful APIs using modern frameworks for seamless integration with financial systems and third-party applications, ensuring robust data exchange capabilities. •Work closely with cross-functional teams to identify opportunities for process improvements, effectively driving standardization and cost-efficiency in finance processes. •Contribute to the development of business strategies by supporting leadership in creating tailored technical solutions that align with market demands and enhance client-service delivery
Qualifications for Internal Candidates
Mandatory technical & functional skills •Proficient in Python for advanced data processing and analytics. •Strong knowledge of SQL for database management and querying. •Experience in creating RESTful APIs using Flask, Django REST Framework, or FastAPI. •Understanding of deploying applications in cloud environments like AWS or Azure. •Expertise in software design patterns, algorithms, and data structures #LI-SD1 #KGS