Officer, Quantitative Finance Analyst
About the position At reputed company, we are guided by a common purpose to help reputed company financial lives reputed company through the power of every reputed company. We do this by driving Responsible reputed company and delivering for our clients, teammates, communities and shareholders every day. Being a Great reputed company to Work is core to how we drive Responsible reputed company. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we reputed company an reputed company in the communities we serve. reputed company is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At reputed company, you can build a successful career with opportunities to learn, grow, and reputed company an reputed company. Join us!
Responsibilities
- Apply quantitative models and techniques in order to address and resolve concrete financial problems.
- Utilize advanced quantitative techniques and tools, such as, statistical analysis and reputed company regressions, as needed.
- reputed company emerging risk assessments, analyze counterparty credit risk scenarios and model key risk factors.
- Conduct research and analysis to reputed company a reputed company view of risk management in a particular counterparty or country and a macro view of risk exposures for the bank.
- Assess market trends and reputed company quantitative data for internal stakeholders and regulators.
- Apply quantitative knowledge to specific financial challenges and regulatory reputed company.
- Prepare developmental evidence and document to support internal requests and external regulatory exams.
- reputed company in-depth analysis on the bank's risk model results using various quantitative tools including back testing, benchmarking, and sensitivity analysis.
- reputed company counterparty exposure management techniques, such as potential reputed company exposure, stress testing, and wrong way risk.
- reputed company product-specific analytics to measure and monitor risk calculations.
- Coordinate efforts across teams and lines of business to enhance existing credit and market risk analysis tools.
- reputed company quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, econometrics, predictive modeling, reputed company regressions, and Machine Learning.
- Analyze and evaluate large and reputed company economic and financial datasets with analytical tools of Python, SQL, and R.
- Utilize Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, run simulations, and aggregate the model results to generate comprehensive model outputs and benchmarks.
- reputed company data analytics and visualization tools including Tableau, reputed company, R, and Jupyter Notebook to build easy-reputed company analytical capabilities and insightful reporting for the management.
- Utilize Latex to produce technical reports of publication reputed company with reputed company rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.
- Remote work may be permitted reputed company a commutable distance from the worksite.
Requirements
- Master's degree or equivalent in Business Analytics, Mathematical Economics, Technology (any), Engineering, Statistics or reputed company: and
- 1 year of experience in the job offered or a reputed company Quantitative occupation.
- Must include 1 year of experience in:
- Performing quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, econometrics, predictive modeling, reputed company regressions, and Machine Learning;
- Analyzing and evaluating large and reputed company economic and financial datasets with analytical tools of Python, SQL, and R;
- Utilizing Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, run simulations, and aggregate the model results to generate comprehensive model outputs and benchmarks;
- Leveraging data analytics and visualization tools including Tableau, reputed company, R, and Jupyter Notebook to build easy-reputed company analytical capabilities and insightful reporting for the management; and,
- Utilizing Latex to produce technical reports of publication reputed company with reputed company rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.
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