Technology Support Engineer

Accenture; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A global consulting firm based in Tamil Nadu, Chennai District is seeking a Technology Support Engineer to specialize in financial instrument reference data. The role demands a minimum of 5 years' experience, with extensive skills in data analysis, SQL, and experience in financial services. Key responsibilities include ensuring data quality and collaborating with various teams for accurate data management and reporting. A bachelor's degree in a relevant field is essential, with additional skills in visualization tools being advantageous. This role offers opportunities to drive data quality initiatives in a dynamic environment.

Qualifications

• Minimum 5 years of experience required.
• 3+ years of experience in a data analyst or business analyst role in financial services.
• Deep domain knowledge of financial instrument reference data.

Responsibilities

• Serve as subject matter expert on financial instrument reference data.
• Collaborate with teams for accurate onboarding of instrument reference data.
• Monitor and resolve data quality issues related to instrument identifiers.

Skills

Wealth Management Advisory Solutions

Education

Bachelor's degree in Finance, Economics, Data Science, Statistics, Computer Science, or a related field

15 years full time education

Tools

SQL

Power BI

Tableau

Python

R

AWS

Azure

Snowflake

Job description

Project Role

Technology Support Engineer

Project Role Description

Resolve incidents and problems across multiple business system components and ensure operational stability. Create and implement Requests for Change (RFC) and update knowledge base articles to support effective troubleshooting. Collaborate with vendors and help service management teams with issue analysis and resolution.

Must have skills

• Wealth Management Advisory Solutions

Good to have skills

• Data Analysis & Interpretation
• Microsoft 365
• MySQL

Experience

Minimum 5 year(s) of experience is required.

Educational Qualification

15 years full time education

Qualifications Data Operations Analyst

Required Qualifications

• Bachelor's degree in Finance, Economics, Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience in a data analyst or business analyst role, preferably within financial services or asset management.
• Deep domain knowledge of financial instrument reference data, including equities, fixed income, derivatives, and structured products.
• Familiarity with industry-standard data sources and vendors (e.g., Bloomberg, Refinitiv, ICE, Markit, Morningstar).
• Strong understanding of instrument lifecycle events (e.g., corporate actions, pricing, identifiers like ISIN/CUSIP/Sedol).
• Familiarity with investment products, portfolio analytics, or performance attribution.
• Strong business acumen and understanding of asset management operations and client needs.
• Experience working with large, complex datasets and relational databases.
• Excellent communication and stakeholder management abilities.

Preferred Qualifications

• Master's degree in a quantitative or business-related field.
• Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).
• Experience with Python, R, or other statistical programming languages.
• Knowledge of data governance, data lineage, and metadata management.
• Experience with cloud-based data platforms (e.g., AWS, Azure, Snowflake).
• Exposure to Agile or Scrum methodologies in a data or analytics environment.
• Ability to translate business questions into analytical frameworks and data models.
• Experience with data quality frameworks and regulatory compliance (e.g., SEC, MiFID II).
• Ability to manage multiple priorities and deliver high-quality work under tight deadlines.
• Strong presentation skills with the ability to explain technical concepts to non‑technical audiences.

Key Responsibilities

• Serve as the subject matter expert on financial instrument reference data, including equities, fixed income, derivatives, and structured products.
• Collaborate with investment operations, compliance, and technology teams to ensure accurate and timely onboarding and maintenance of instrument reference data.
• Analyze and validate data from external vendors (e.g., Bloomberg, Refinitiv, ICE) to ensure consistency, completeness, and alignment with internal systems.
• Monitor and resolve data quality issues related to instrument identifiers, classifications, pricing sources, and corporate actions.
• Develop and maintain data dictionaries, lineage documentation, and metadata for reference data domains.
• Partner with data governance teams to define and enforce data standards, policies, and controls for reference data.
• Support integration of reference data into downstream systems such as trading platforms, risk engines, and client reporting tools.
• Design and implement dashboards and reports to track data quality metrics, exceptions, and operational KPIs.
• Participate in projects to enhance reference data architecture, including vendor transitions, system upgrades, and automation initiatives.
• Provide training and guidance to business users on reference data usage, best practices, and issue resolution workflows.