Investment Management Solution

We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization. Key Responsibilities • Perform comprehensive data quality checks and propose enhancements to existing processes • Analyze and solve complex problems related to data quality in the Investment Banking domain • Collaborate with cross-functional teams to ensure data integrity across various systems • Support Business System Analysis, Project Management, and Quality Assurance initiatives • Work on Trade Life Cycle and Management modules, including Front, Middle, and Back-office operations • Utilize tools such as Charles River/ BlackRock Aladdin/ BlackRock/ Aladdin/ SimCorp One/ Bloomberg/ Limina, SQL for data analysis • Engage in extended testing areas, including End to End Performance Testing • Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality • Continuously monitor data quality metrics and trends to pinpoint areas needing improvement • Perform Data Quality Assessments and audits to evaluate data quality • Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards • Maintain detailed documentation of data quality processes and standards • Create and present reports on data quality metrics and improvements to management Required Skills • Strong expertise in investment banking, capital markets - Front, Middle and Back office operations • Proficient in SQL, ETL and various data analysis tools • Well-versed in Charles River/ BlackRock Aladdin/ BlackRock/ Aladdin/ SimCorp One/ Bloomberg/ Limina(CRD) and its functionalities • Excellent analytical and problem-solving skills • Experienced in quality assurance life cycles and testing methodologies • Effective communicator, capable of engaging with both technical and non-technical stakeholders • Detail-oriented, skilled in identifying and correcting data discrepancies and errors • Strong analytical skills for examining data and recognizing patterns or issues • Familiarity with Agile methodology and Atlassian tools is advantageous • Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools • Knowledge in snowflake • Problem-solving skills to devise solutions for enhancing data quality • Excellent verbal and written communication abilities for collaborating with team members and stakeholders • Self-motivated and proactive in identifying and resolving data quality issues • Strong organizational skills and attention to detail • Ability to work independently and as part of a team • Eager to learn and adapt to new technologies and methodologies