Job Description:
Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models.
Analyze existing data sources to identify data elements relationships and inconsistencies.
Design develop and maintain canonical data models and schemas including positions trades collateral and market data.
Ensure data quality accuracy and integrity within the data models implementing data validation rules and monitoring data flows.
Work closely with data architects developers and other analysts to implement data models in various technology platforms.
Document data definitions data lineage business rules and technical specifications for the canonical data models.
Perform data analysis and extract insights from large datasets using tools like SQL Excel and potentially Python or R.
Create reports dashboards and visualizations to support data governance data quality and business understanding of securities finance data.
Participate in testing and validation of data models and data transformations.
Qualifications Required
A Bachelors degree in a relevant field such as Finance Economics Computer Science or Information Systems is required.
Candidates should have at least 3 years of experience in data or financial analysis preferably within financial services.
A strong understanding of securities finance including lending borrowing and collateral management is essential.
Required technical skills include proficiency in SQL and advanced Excel for data analysis and modeling.
Experience with data modeling tools and methodologies as well as familiarity with database concepts is also necessary.
Essential soft skills include strong analytical and problem-solving abilities with attention to detail.
Excellent communication skills for explaining complex data and the ability to collaborate effectively in a team environment.
A proactive and continuous learning mindset is also value.
Job Description: Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models. Analyze existing data sources to identify data elements relationships and inconsistencies. Design develop and maintain canonical data mo...
Job Description:
Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models.
Analyze existing data sources to identify data elements relationships and inconsistencies.
Design develop and maintain canonical data models and schemas including positions trades collateral and market data.
Ensure data quality accuracy and integrity within the data models implementing data validation rules and monitoring data flows.
Work closely with data architects developers and other analysts to implement data models in various technology platforms.
Document data definitions data lineage business rules and technical specifications for the canonical data models.
Perform data analysis and extract insights from large datasets using tools like SQL Excel and potentially Python or R.
Create reports dashboards and visualizations to support data governance data quality and business understanding of securities finance data.
Participate in testing and validation of data models and data transformations.
Qualifications Required
A Bachelors degree in a relevant field such as Finance Economics Computer Science or Information Systems is required.
Candidates should have at least 3 years of experience in data or financial analysis preferably within financial services.
A strong understanding of securities finance including lending borrowing and collateral management is essential.
Required technical skills include proficiency in SQL and advanced Excel for data analysis and modeling.
Experience with data modeling tools and methodologies as well as familiarity with database concepts is also necessary.
Essential soft skills include strong analytical and problem-solving abilities with attention to detail.
Excellent communication skills for explaining complex data and the ability to collaborate effectively in a team environment.
A proactive and continuous learning mindset is also value.
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