Senior Consultant | SQL & Python Developer (Investment Management)

Deloitte Shared Services India; India; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Deloitte Shared Services India is seeking a Senior Consultant with strong SQL and Python skills in the Investment Management domain. The role focuses on building data-driven solutions, handling large financial datasets, and supporting analytics and reporting for investment management functions.

The ideal candidate will combine advanced SQL and Python capabilities with a solid understanding of investment management processes, financial instruments, and data flows.

Qualifications

• 6-9 years of experience in SQL & Python development within Investment Management domain.
• Hands-on experience handling large financial datasets and analytics.
• Strong ETL development and data integration capabilities.
• Solid understanding of relational databases and data modeling concepts.

Responsibilities

• Design, develop, and optimize complex SQL queries, stored procedures, and data pipelines.
• Develop data processing, automation, and analytics solutions using Python.
• Work with investment management datasets (portfolio, holdings, transactions, securities, performance).
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Perform data analysis, validation, reconciliation, and quality checks across multiple sources.
• Support reporting, regulatory, and operational data requirements.
• Build and maintain scalable ETL and data integration processes.
• Troubleshoot data issues and implement performance improvements.
• Participate in solution design, code reviews, and best practice implementation.

Skills

SQL

Python

ETL

Data modeling

Data warehousing

Git

Tools

Git

Job description

Senior Consultant | SQL & Python Developer (Investment Management)

Experience: 6-9 Years

Location: Any Location (India)

Notice Period: Immediate Joiners Preferred

Domain: Investment Management / Asset Management / Capital Markets

Role Overview

We are seeking an experienced SQL & Python Developer with a strong background in the Investment Management domain. The ideal candidate will have hands-on experience in developing data-driven solutions, working with large financial datasets, and supporting analytics and reporting requirements for investment management functions.

This role requires a combination of strong technical expertise in SQL and Python, along with a solid understanding of investment management processes, financial instruments, and data flows.

Key Responsibilities

• Design, develop, and optimize complex SQL queries, stored procedures, and data pipelines.
• Develop data processing, automation, and analytics solutions using Python.
• Work with investment management datasets, including portfolio, holdings, transactions, securities, and performance data.
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Perform data analysis, validation, reconciliation, and quality checks across multiple data sources.
• Support reporting, regulatory, and operational data requirements.
• Build and maintain scalable ETL and data integration processes.
• Troubleshoot data-related issues and implement performance improvements.
• Participate in solution design, code reviews, and best practice implementation.

Required Skills

Technical Skills

• Strong expertise in SQL with experience in query optimization and performance tuning.
• Advanced proficiency in Python for data processing, automation, and analytics.
• Experience in ETL development and data integration.
• Strong understanding of relational databases and data modeling concepts.
• Experience with data warehousing and reporting solutions.
• Knowledge of version control tools such as Git.

Domain Skills

• Strong experience in Investment Management, Asset Management, or Capital Markets.
• Understanding of:
  • Portfolio Management
  • Investment Operations
  • Securities and Financial Instruments
  • Trade Lifecycle
  • Holdings & Transactions Data
  • Performance and Attribution Reporting
• Experience working with investment platforms and financial data ecosystems.