Job Description
The Specialized Analytics Senior Analyst is a strategic professional who stays abreast of developments within
own field and contributes to directional strategy by considering their application in own job and the
Responsibilities
- Work independently or collaboratively (depending on the circumstance) to help business stakeholders to identify analytical/technical opportunities to improve the existing process or address existing pain points.
- Design and implement Early Warning Indicators for Credit Risk, Counterparty Risk, Portfolio Health, using either traditional statistical approach or advanced AI/ML modeling, graph analytics approach.
- Drive advanced statistical and modeling solution design and implementation for Wholesale Lending Credit Risk and Counterparty Credit Risk, especially in the domain of Early Warning.
- Be actively involved in and responsible for elements of the design / implementation / coding of feature driven analytic models, including data structure / design to support the delivery of such.
- Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of credit risk strategies using a variety of programing and AI tools (e.g. SQL, Python, Spark, Time Series Analysis, Machine Learning.)
- Responsible for all the Risk and Controls requirement in analytics or technical process such as documentation, testing, and ongoing performance monitoring.
Qualifications:
- 10+ years of working experience of Advanced Analytics, Modeling in Wholesale Credit Risk (Lending or Counterparty) domain. Experience in PD models, Credit Risk Early Warning is a big plus.
- Must have demonstrated ability in programing skills using Python/SQL/Spark for data processing and data analytics.
- Must have solid statistical analysis, modeling, machine learning design and implementation knowledge such as Time Series, Logistics Regression, Support Vector Machine, Random Forrest, Isolation Forrest, XGBoost etc..
- Excellent analytic ability and problem-solving skills.
- Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
- Bachelors/University degree, Master’s degree preferred
We offer:
- Work in a challenging area of the financial industry with one of the world's leading companies with exposure to variety of products, processes and controls.
- Cooperation with a high quality, international, multicultural and global team.
- Work in a friendly and diversified environment, appreciating differences in style and perspective and using them to add value to decisions leading to organizational success.
- Management supporting balanced and agile work (flexible working hours, home office).
- Attractive benefits package (Benefit System, medical care, pension plan etc.).
- A chance to make a difference with various affinity networks and charity initiatives.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Decision ManagementSpecialized Analytics (Data Science/Computational Statistics)
Time Type:
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