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Risk Analytics and Modelling Manager
hace 4 días
Requirements
- 5+ years of experience of developing predictive models leveraging statistical and (or) machine learning methods to solve complex business problems, credit risk and stress testing modelling experience is a plus.
- At least Master's degree in a quantitative discipline, e.g. Mathematics, Statistics, Economics, Computer Science, Data Science.
- Proficiency in SAS / R, Python, and MS Office tools like Excel & PowerPoint, proficient in git version control.
- Extensive experience with Machine Learning APIs and computational packages (e.g. Scikit-Learn, Numpy, SciPy, Pandas, stats models)
- Familiarity with data table operations (SQL, BigQuery, etc)
- Should be able to work both individually and collaboratively in teams.
- Experience with automatizing complex models under big data approach in R-Shiny, Python, GCP
- Experience in backend maintenance of internal tools (R-Shiny, Python, GCP)
- Must be proficient in English as the jobholder will work closely with a multicultural team placed in several countries (US, India, Poland, UK).
- Strong communication and presentation skills (both verbal and written) and ability to develop and effectively communicate complex technical concepts and ideas to non-technical/analytical recipient is a must.
- Strong interpersonal, organizational skills and willingness to work under pressure and tight deadlines.
- Highly detail oriented as it is needed to work with different Regulations
You'll achieve more when you join HSBC
At HSBC we offer our colleagues a greater number of days so that they can fully enjoy their wedding, take care of the new member of the family, or grieve the loss of a family member. Our paid leave package is at the forefront in Mexico, now you have one more reason to be HSBC and proudly live a culture of well-being, balance and care
HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
***Issued by HSBC Electronic Data Processing (México) Private LTD***
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