This range is provided by Canopy. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$7,000.00 / yr - $12,000.00 / yr
Overview
The Data Operations Analyst manages all aspects of data operations within the team, ensuring the accuracy, integrity, and security of financial and investment data. This role provides reliable reporting to stakeholders and requires strong technical skills, attention to detail, and collaborative abilities.
Responsibilities
- Data Management and Processing : Ensure the accuracy, completeness, and consistency of data extraction and aggregation of complex investment portfolio data using our proprietary aggregation software
- Identify, investigate and resolve aggregated data for inconsistencies and errors across all balances
- Dig deeply into trading history and end of day holdings data to perform reconciliation, identify account discrepancies, and find potential solutions
- Review recon output and ensure timely identification and escalation of aging exceptions
Product and Process development
Actively contribute to the enhancement of internal systems to drive efficiency, accuracy, and timeliness of data aggregationHelp build tools and processes to improve and scale the data reconciliation competencyWork with the product team on new features to understand cost and process impactsEnsure the security and privacy of sensitive data in compliance with regulatory requirementsCollaboration and Communication
Act as escalation point for queries from Sales, Client Success & Product team to resolve clients\' data-related questionsLiaise with custodian representatives to address gaps found in financial data sourcesProvide training and support to staff on data-related processes and systemsRequirements
Bachelor\'s degree in Finance, Accounting, Information Systems, or a related field; Fresh Graduates are welcome to applyAdvanced proficiency in Microsoft Excel is a must; proficiency in Python, SQL is a bonusStrong analytical skills and problem-solving skillsUnderstanding of financial instruments across asset classesA willingness to work with large data sets; approaches it as if it\'s a fun puzzle to solveMeticulous attention to detail and ability to work under pressureStrong communication and interpersonal skillsAbility to work independently and as part of a teamProactive in seeking workflow improvementsExperience with Tableau, Trifacta, or other data wrangling tools is highly preferredSeniority level
AssociateEmployment type
Full-timeJob function
AnalystIndustries
IT Services and IT ConsultingKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago
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