About the Company:
A top tier Global Investment Bank
About the Role:
Operational Risk Analytics
Responsibilities:
- Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities.
- Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.
- Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.
Qualifications:
Masters in Finance ( MBA / MS ) & Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering is a MUST.
Required Skills:
- Entrepreneurial, analytically creative, self-motivated and team-oriented.
- Excellent written, verbal and team-oriented communication skills.
- Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R.
- Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.
- Working knowledge of the financial industry, markets and products and associated non-financial risk.
- Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.
Preferred Skills:
5+ years of financial or non-financial risk industry experience.
