Investment Risk Analyst - Financial Services

Investment Risk Analyst

Skills: Investment Risk, PowerBI, Financial Analysis, Data Validation & Maintenance, Reporting, SQL

The Risk Analysts review risk statistics by analyzing the accuracy and quality of the underlying data and maintenance as required to ensure reporting accuracy, across risk exposures including market, concentration, liquidity, and other related risks.

The Risk Analyst primary function is to compile data and reports for risk analysis, identify and reconcile data and modeling discrepancies, 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.

Roles & Responsibilities:-

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

- 3-5 years of relevant experience in the Financial Services Industry, preferably in financial analysis, risk management, or related field

- Database/ SQL (Azure, Snowflake, AWS): Ability to use basic functionality to collect data from a single or multiple sources.

- Analytics (Excel, Databricks, coding, Python, Machine learning): 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 systems 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.