Investment Risk Analyst (CFA/FRM, SQL, Power BI, Python)

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At Franklin Templeton, we're driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that's both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients' achievements. Come join us in delivering better outcomes for our clients around the world! Investment 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, Skill & 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 & 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: (Not applicable for European jobs) 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 - Entry

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