Senior Data SlingerData yst

2 giorni fa

Re, Italia Meta Force Technology Staffing LLC A tempo pieno

JOB TITLE: Data Slinger/Data Analyst

LOCATION: 100% Remote

DURATION: 6 Months

No C2C No H1b/OPT/CPT

START DATE: 2 Weeks

DUE DATE: 24 48 Hours


Job Overview:

We are seeking a highly skilled Data Slinger with indepth experience in asset management and expertise in both ABOR (Accounting Book of Record) and IBOR (Investment Book of Record) systems.
The ideal candidate will have a strong background in managing large datasets building robust data pipelines and ensuring data integrity across financial operations especially within the context of backoffice and frontoffice asset management processes.

Key Responsibilities:

  • Design develop and manage scalable data pipelines for the ingestion processing and transformation of large datasets across various asset management functions.
  • Collaborate with asset management teams to align data strategies with business objectives ensuring timely and accurate data flow across ABOR and IBOR systems.
    • ABOR: Ensure accurate and compliant financial reporting tax lot calculations and regulatory data management.
    • IBOR: Provide realtime data for portfolio management trading performance analysis and risk management.
  • Perform indepth data assessments to ensure accuracy completeness and consistency in accounting and investment data across systems.
  • Develop and maintain data models marts and reporting structures for asset and investment management use cases.
  • Lead the integration and synchronization of data between backoffice accounting systems (ABOR) and front/middleoffice investment systems (IBOR) to enable seamless operations and decisionmaking.
  • Implement best practices in data governance ensuring data security quality and compliance with industry regulations.
  • Work closely with stakeholders including asset managers compliance teams and IT to ensure robust and reliable data processes.
  • Provide ongoing support and troubleshooting for any datarelated issues ensuring minimal disruption to asset management operations.
  • Utilize modern data tools such as SQL Python and cloud platforms for data transformation analysis and reporting.

Skills and Qualifications:

  • Bachelors degree in data science Information Technology Finance or a related field.
  • 57 years of experience in data engineering with a specific focus on asset management and financial operations.
  • Proven expertise in working with both ABOR (Accounting Book of Record) and IBOR (Investment Book of Record) systems.
  • Experience in designing and managing data pipelines and transformations using modern tools and frameworks (e.g. DBT Apache Airflow Spark).
  • Strong SQL and Python programming skills with experience in data platforms such as Snowflake Redshift or BigQuery.
  • Indepth knowledge of asset management workflows including trade execution portfolio management risk analysis and financial reporting.
  • Experience with data governance frameworks ensuring data quality security and compliance with regulatory standards.
  • Excellent communication skills with the ability to interact effectively with stakeholders across front middle and back offices.

Preferred Qualifications:

  • Previous experience in financial services particularly in asset management portfolio analytics or risk management.
  • Familiarity with cloudbased data infrastructure (AWS GCP Azure) and big data tools.

Experience integrating ABOR and IBOR systems to improve data flow reduce operational risk and support realtime decisionmaking

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