Quantitative Risk Analytics Manager
Quantitative Risk Analytics Manager
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Salary Not Disclosed
1 Vacancy
Job Description
The role:
As a Quantitative Risk Analytics Manager in our Independent Risk Management function 2LOD) you will play a pivotal role in developing analytics tools and solutions to drive datadriven decision making. Youll collaborate closely with senior leadership to identify opportunities develop cuttingedge analytical solutions and deliver actionable insights that will shape our risk oversight strategies.
What youll do:
- Partner with senior leaders in the Independent Risk Management function to identify opportunities develop and implement advanced analytical solutions and deliver insights to drive improved decision making.
- Design sophisticated statistical and machine learning solutions to support risk oversight including but not limited to trend analysis segmentation decision tree classification time series analysis hypothesis testing natural language processing and anomaly detection.
- Conduct quantitative analyses using statistical methods econometric analysis and other risk management techniques.
- Design develop and maintain datasets and pipelines to support risk analytics and dashboards including data ingestion transformation and analysis.
- Leverage industry leading technologies and integrate new data attributes uncover valuable insights and solve complex business problems.
- Serve as a technical subject matter expert guiding and mentoring data analysts in best practices business insights and analytics methodologies.
- Continuously explore new technologies and techniques to improve our analytics capabilities and deliver greater value.
What youll need:
- Bachelors degree in Computer Science Engineering Statistics Econometrics or a quantitative field required. Masters or Ph.D. degree preferred.
- 7 years of impactful experience preferably within the financial services industry with significant depth in the methods and analytical details of machine learning and statistical solutions.
- Deep understanding of data analytics methodologies including statistical analysis hypothesis testing data mining classification and other advanced statistical and econometrics methodologies
- Proven experience building analytics solutions leveraging Git workflows modularized coding practices API calls and web based solutions.
- Deep handson experience with core technologies such as Airflow dbt git docker Tableau Streamlit AWS Snowflake sklearn TF statmodels SQL etc.
- Experience with ML and statistical solutions through all phases of development from design through training evaluation and implementation.
- The ability to analyze complex data identify patterns and develop solutions to address business challenges.
Nice to have:
- Notable financial designation(s) such as CFA or FRM
Required Experience:
Manager
Employment Type
Full Time
