Market Risk Analytics Associate
127 Public Square, Cleveland, OH, United States
Location:
127 Public Square - Cleveland, Ohio 44114ABOUT THE JOB (JOB BRIEF)
Market and Treasury Risk Management (MTRM) performs oversight of the Fixed Income, Equities, Foreign Exchange and Interest Rate and Commodity Derivatives trading activity throughout the bank and broker-dealer. The trading risk oversight team performs a broad range of analysis and produces trading risk analytics to support the market risk function, including monitoring and evaluating risks affecting current or anticipated capital, valuation, Value-At-Risk (VaR) and Counterparty Credit Risk (CCR).
The individual in this role will perform a broad range of analysis to support the customer trading analytics function. As part of the trading risk oversight team within MTRM, the individual will perform as a Quant Analytics Associate and monitor trading activities, analyze trends, identify emerging risks, and strengthen our oversight function.
ESSENTIAL JOB FUNCTIONS
- Analyze risk metrics related to trading activities (position changes, profit & loss, VaR, and other key measures)
- Work with senior members of the team on monitoring market risk limits and developing analyses of portfolio and risk dynamics
- Maintain documentation of models, processes, and procedures according to Key’s corporate standards
- Support MTRM policies and processes
- Provide reoccurring reporting and ad hoc requests
- Create analysis to support the production of insights into relevant business questions under general direction / supervision
- Develop basic visualizations and PowerPoint presentations
- Provide input with addressing basic business/analytical problems and challenges
- Prepare documents for monthly and quarterly submission to finance and accounting, and to regulators
- Conduct quantitative analysis on large data sets with manager and team support
- Identify common data errors and their impact
- Employ basic best practices for evaluating large data
- Answer key business questions through exploration and discovery
- Find patterns or anomalies by building out visualizations
REQUIRED QUALIFICATIONS
- Bachelor’s Degree in finance, mathematics, statistics, economics, or other quantitative field
- Strong analytic and quantitative skills such as
- Knowledge of financial mathematics
- Advanced knowledge of Excel
- Proficiency in a programming language such as Python, SAS, SQL, R, Google Cloud, Big Query, VBA
- Statistical analysis
- Data visualization
EXPECTED COMPETENCIES
- Communication: Strong written and verbal communication skills
- Leadership: Able to work independently under general direction / supervision. Ability to perform multiple tasks simultaneously to meet strict deadlines
- Partnering / Influencing: Ability to work in a team environment in collaboration with other team members
- Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen
- Critical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes need to escalate issues in a timely manner
KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Credit risk Data visualization Economics Excel Finance GCP Google Cloud Mathematics Python R SAS SQL Statistics
Perks/benefits: Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.