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Key Responsibilities and Required Skills for a Financial Data Processor

💰 $55,000 - $85,000

FinanceData & AnalyticsOperations

🎯 Role Definition

Are you ready to be the backbone of our financial intelligence? This role requires a highly motivated and detail-oriented Financial Data Processor to join our dynamic team. In this critical role, you will be responsible for the end-to-end management of financial data, from acquisition and validation to processing and reporting. You will act as a guardian of data integrity, ensuring that the information fueling our investment decisions, regulatory reporting, and risk management is accurate, timely, and reliable. This isn't just about processing numbers; it's about transforming raw data into a trusted asset that drives our business forward. If you thrive in a fast-paced environment and have a knack for spotting inconsistencies and improving processes, we want to hear from you.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Junior Operations Analyst
  • Finance or Accounting Graduate
  • Data Entry Specialist (Financial Services)

Advancement To:

  • Senior Financial Data Analyst
  • Data Quality Manager
  • Financial Systems Analyst
  • Investment Operations Team Lead

Lateral Moves:

  • Business Analyst
  • Risk Analyst
  • Trade Support Analyst

Core Responsibilities

Primary Functions

  • Process, validate, and reconcile large volumes of complex financial data (e.g., trades, positions, market data, corporate actions) from multiple sources, ensuring accuracy and timeliness for downstream systems.
  • Investigate and resolve data discrepancies, exceptions, and breaks in financial information by performing root cause analysis and coordinating with internal teams and external data vendors.
  • Execute daily, weekly, and monthly data quality checks and control procedures to maintain the highest level of data integrity across all financial datasets.
  • Manage the end-to-end lifecycle of financial data, from acquisition and ingestion through transformation, storage, and dissemination to key stakeholders.
  • Monitor real-time data feeds from vendors like Bloomberg, Reuters, and FactSet, proactively troubleshooting connection issues and data quality problems to minimize business impact.
  • Maintain and update the firm's central securities master and reference data files, ensuring all financial instruments are configured correctly.
  • Perform complex data queries using SQL to extract, manipulate, and analyze financial data for ad-hoc requests, reporting, and analytical projects.
  • Support the generation of critical regulatory and compliance reports (e.g., MiFID II, EMIR, AIFMD) by ensuring the underlying data is complete, accurate, and properly formatted.
  • Calculate, verify, and distribute key financial metrics such as Net Asset Value (NAV), P&L, and performance returns based on processed data.
  • Liaise with portfolio managers, traders, and risk analysts to understand their evolving data requirements and provide timely, accurate data solutions.
  • Automate manual data processing and reporting tasks using tools like Python, VBA, or other scripting languages to enhance operational efficiency and scalability.
  • Document all data processing workflows, procedures, and data lineage to ensure transparency, business continuity, and knowledge sharing.
  • Assist in the user acceptance testing (UAT) and implementation of new data management systems, software patches, and platform upgrades.
  • Onboard new securities and financial products into the data ecosystem, ensuring all static and reference data attributes are captured and maintained correctly.
  • Administer pricing and valuation processes, including the validation of security prices from multiple sources and the investigation of pricing variances.
  • Ensure all data handling and processing activities strictly adhere to internal governance policies, industry best practices, and regulatory standards.
  • Generate and distribute standard and custom reports to various business units, including finance, operations, compliance, and executive leadership.
  • Perform data cleansing, normalization, and enrichment activities to improve the overall quality and usability of the firm's core data assets.
  • Provide crucial support for month-end and quarter-end closing processes by delivering accurate and reconciled financial data sets within tight deadlines.
  • Act as a subject matter expert on specific datasets and data flows, providing guidance and support to other team members and business users.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis to answer pressing business questions.
  • Contribute to the organization's broader data governance strategy and roadmap.
  • Collaborate with business units to translate functional data needs into technical engineering requirements.
  • Participate in sprint planning, daily stand-ups, and other agile ceremonies within the data and technology teams.

Required Skills & Competencies

Hard Skills (Technical)

  • Advanced SQL: Proficiency in writing complex queries for data extraction, manipulation, and analysis.
  • Microsoft Excel: Expert-level skills, including pivot tables, VLOOKUP/HLOOKUP, complex formulas, and VBA macros.
  • Financial Data Knowledge: Strong understanding of financial instruments (equities, fixed income, derivatives), market data, and corporate actions.
  • Data Reconciliation: Proven experience in identifying and resolving data discrepancies between multiple systems.
  • ETL Concepts: Familiarity with Extract, Transform, Load (ETL) processes and data warehousing principles.
  • Data Vendor Experience: Hands-on experience with financial data terminals and feeds (e.g., Bloomberg, Refinitiv Eikon, FactSet).
  • Scripting Languages: Basic to intermediate proficiency in Python or R for data automation and analysis is highly desirable.
  • Data Visualization: Experience with tools like Tableau or Power BI for creating reports and dashboards is a plus.

Soft Skills

  • Attention to Detail: An exceptional eye for detail and a commitment to accuracy are non-negotiable.
  • Analytical & Problem-Solving: Strong ability to diagnose issues, perform root cause analysis, and implement effective solutions.
  • Time Management: Ability to prioritize and manage multiple tasks effectively in a fast-paced, deadline-driven environment.
  • Communication: Clear and concise written and verbal communication skills to interact with both technical and non-technical stakeholders.
  • Teamwork & Collaboration: A collaborative mindset with the ability to work effectively within a team and across departments.
  • Proactive & Inquisitive: A curious nature and a drive to question the status quo, identify inefficiencies, and recommend process improvements.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor's Degree

Preferred Education:

  • Master's Degree in a quantitative or financial discipline

Relevant Fields of Study:

  • Finance
  • Economics
  • Computer Science
  • Information Systems
  • Mathematics or Statistics

Experience Requirements

Typical Experience Range:

  • 2-5 years of experience in a financial data management, investment operations, or data analysis role.

Preferred:

  • Direct experience within an asset management firm, hedge fund, investment bank, or financial data vendor.
  • Proven track record of improving data quality and automating manual processes.
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