Vista previa de la oferta
Investment Risk Analyst (CFA/FRM, SQL, Power BI, Python)
mid · Asset Management
At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique.
From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.
What is Inv Risk Data Management team responsible for?
The Risk Analyst primary function is to compile data and reports for risk analysis, identify and reconcile data and modeling discrepancies, Create and manage data visualizations, and ensure accurate reports and data are delivered to their intended audiences within a defined timeframe. Risk Analysts have in depth knowledge and understanding of a specific investment strategy.
What are the ongoing responsibilities of Risk Analyst?
Data Validation & Maintenance:
Support a specific data model and asset class focus. Identify, reconcile, and resolve data issues of low complexity.
Look for errors in data models.
Analyze and understand existing internal tools and data warehouses to identify data quality.
Analyze and understand existing internal tools and data warehouses to confirm data quality.
Review automated validation controls and complete issue resolution. Assist with setup of new accounts.
Reporting:
Run existing standard reports and queries from Risk systems and databases. Ensure reports are delivered to the appropriate client(s) and/or provided via automated processes to downstream systems according to defined SLAs and time frames.
Review, understand, and respond to basic ad-hoc requests for risk statistical information supporting Risk, Investment Management, Marketing, and other constituent teams.
Work closely with Technology team to test production enhancements to the Risk systems and reports.
Data Analytics:
Manage existing analytics and create new ones if needed.
Respond to specific requests for portfolio characteristics and risk statistics information.
What ideal qualifications, skills & experience would help someone to be successful?
Bachelor’s degree in finance, statistics, mathematics, operations research, engineering, or computer science, or related field
Higher education or relevant industry certifications like CFA, FRM, preferable
4 to 6 years relevant work experience in the Asset Management Industry, in particular working in the front office with exposure to investment, trading, Portfolio and risk data
Data Quality, Data Analytics and/or Data Management experience preferred
Database and SQL (Structured Query Language), Tableau or Power BI and any programming language experience required.
Knowledge, Skills and Abilities:
Database/ SQL (Azure, Snowflake, AWS): Ability to use basic functionality to collect data from a single or multiple sources
Data Science/ Analytics (Excel, Databricks, coding, Python, Machine learning, AI): Ability to use basic coding functionality to compile, clean and search through large data sets for usable information
Visualization (Power BI, Tableau): Ability to use basic screens to help visualize the information
Data Modelling (Barra, Port, Axioma): Ability to model portfolio securities terms and conditions appropriately in selected risk system and create user defined instruments for commonly used derivatives.
Business & Risk Knowledge: Cursory knowledge of investment management and investment risk concepts. Eager to seek out organized educational opportunities pertaining to business, risk, financial services, and investment management. Demonstrates ability to use interactions with peers as occasions to gain knowledge.
Industry Trends: Learning and skill development stage of industry trend awareness. Demonstrates eagerness to learn about data modeling, research, and insight methods by gaining knowledge from peers and organized educational opportunities.
Initiative, Organization & Time Management: Good organization & time management skills. Ability to prioritize work and deliverables to meet committed timelines.
Communication: Effective written and verbal communication skills
Problem Solving and Decision Making:
Ability to make independent decisions related to day to day job duties
Ability to independently solve problems of moderate scope and complexity
Travel Requirements:
Possibly on occasion and could require global travel
Physical Requirements:
Ability to hear and speak to employees and outside business associates on the phone and in person
Ability to view letters and numbers on a computer screen for long hours at a time
Ability to maintain a professional image
Job Level - Individual Contributor
Work Shift Timings - 2:00 PM – 11:00 PM
At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.
Highlights of our benefits include:
- Professional development growth opportunities through in-house classes and over 150 Web-based training courses
- An educational assistance program to financially help employees seeking continuing education
- Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)
- Life insurance for protection of employees’ families
- Personal accident insurance for protection of employees and their families
- Personal loan assistance
- Employee Stock Investment Plan (ESIP)
- 12 weeks Paternity leave
- Onsite fitness center, recreation center, and cafeteria
- Transport facility
- Child day care facility for women employees
- Cricket grounds and gymnasium
- Library
- Health Center with doctor availability
- HDFC ATM on the campus
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.