Job responsibilities
- Focus on data driven strategy analysis , identification of emerging risks , development of insightful reporting , and presenting findings to business partners and business leaders.
- Own and lead analytics that provide a Risk point-of-view , make data-driven recommendations to mitigate risks, and solve business issues that have a direct impact on the bottom-line.
- Develop and monitor key-leading indicators of risk and detect, analyze, summarize, and escalate unexpected trends to senior management for Chase as well as Industry. Explore 3rdparty Competitor/Industry data and bring key insights into Industry/Market trends and perform ad-hoc analysis and generate thoughtful insights for Risk Management by extracting data, performing data manipulation and quality checks
- Developing actionable insights via impactful presentations to peers and senior management.
Required qualifications, capabilities, and skills
- Good understanding of Credit Risk and providing risk point of view
- Experience in data analytics with ability to carry our segmentation, data mining and evaluate time-series data
- Sound understanding of a data querying language or manipulation tool such as SAS, SQL, or Python
- Exposure to lending products with ability to identify and analyze segments of risk and recommending solutions to business problems
- An undergraduate and/or graduate degree in a field such as (but not limited to) Engineering, Mathematics, Statistics, MIS, IT, Economics, Risk Management, Analytics, Finance, or Accounting
- Proficiency in MS Excel, PowerPoint, Alteryx and Tableau or similar tools
- Other Skills (you should be able to demonstrate strong examples of these skills):
- Experience working with stakeholders – building trust through hard work and honest assessments of projects, strong communication, high emotional intelligence
- Working as part of a highly productive team, where culture and cooperation are critical for success.
Preferred qualifications, capabilities, and skills
- Prior experience working with large relational databases is a plus
- Prior experience synthesizing large quantities of data using tools such as Teradata, ORACLE or Snowflake is a plus
- Prior experience working within a consumer bank, particularly within a risk or compliance function, or within the home lending line of business is a plus
- Knowledge of US Home Lending Industry is preferred
- Prior experience building and operating within a well-controlled data environment (following established procedures, recommending enhancements to controls) is a plus
- 3 years of experience within Risk Management, Data Analytics or other quantitative field is preferred