Investment Risk Analyst

About the role

The Investment Risk Data Management team at Franklin Templeton is responsible for compiling data and reports for risk analysis, reconciling data and modeling discrepancies, and delivering accurate reports to clients and downstream systems. As a Risk Analyst, you will support a specific data model and asset class, run standard reports and queries from risk systems, manage analytics, respond to ad-hoc risk statistical requests, and collaborate with the Technology team to test production enhancements. This full-time role is based in Hyderabad, Telangana, India, on a 2:00 PM – 11:00 PM shift, and may require occasional global travel.

What you’ll do

• Support a specific data model and asset class focus, and identify, reconcile, and resolve low-complexity data issues
• Look for errors in data models and analyze existing internal tools and data warehouses to identify and confirm data quality
• Review automated validation controls, complete issue resolution, and assist with setup of new accounts
• Run existing standard reports and queries from risk systems and databases, ensuring delivery to appropriate clients or downstream systems per defined SLAs and timeframes
• Review, understand, and respond to basic ad-hoc requests for risk statistical information supporting Risk, Investment Management, Marketing, and other teams
• Work closely with the Technology team to test production enhancements to risk systems and reports
• Manage existing analytics and create new ones if needed, and respond to specific requests for portfolio characteristics and risk statistics information

What you’ll bring

• Bachelor’s degree in finance, statistics, mathematics, operations research, engineering, computer science, or a related field
• 4 to 6 years of relevant work experience in the Asset Management Industry, particularly in the front office with exposure to investment, trading, portfolio, and risk data
• Database and SQL (Structured Query Language) experience
• Tableau or Power BI experience
• Any programming language experience (e.g., Python)
• Ability to use basic SQL functionality to collect data from single or multiple sources (Azure, Snowflake, AWS)
• Ability to use basic coding functionality to compile, clean, and search through large datasets (Excel, Databricks, Python, Machine learning, AI)
• Ability to model portfolio securities terms and conditions in selected risk systems and create user-defined instruments for commonly used derivatives (Barra, Port, Axioma)

Nice to have

• Higher education or relevant industry certifications such as CFA or FRM
• Data Quality, Data Analytics, and/or Data Management experience

Skills

Benefits

• Professional development growth opportunities through in-house classes and over 150 web-based training courses
• Educational assistance program to financially support employees seeking continuing education
• Medical, Life, and Personal Accident Insurance for employees (medical also covers dependents: spouses, children, and dependent parents)
• Employee Stock Investment Plan (ESIP)
• 12 weeks Paternity leave

Education

Bachelor’s degree in finance, statistics, mathematics, operations research, engineering, or computer science, or related field