Modelling Ops Lead Analyst Modelling Ops Lead Analyst …

Citi
in Singapore, Singapore, Singapore
Permanent, Full time
Be the first to apply
Competitive
Citi
in Singapore, Singapore, Singapore
Permanent, Full time
Be the first to apply
Competitive
Citi
Modelling Ops Lead Analyst
This role requires a person to have primary focus on Model Governance and its operationalisation. Focus will be building a governance framework for all models built/deployed in production which need to be managed and protected.
Responsibilities:-
- Defining and monitoring authorization and security of models
- Define & maintain statistical metadata that lists models, including when they were tested, trained, and deployed
- Maintain catalog for validation data sets and the accuracy measurements of stored models
- Versioning (of models, feature vectors, data) and the ability to roll out, roll back, or have multiple live versions
- Maintain full audit trail for Metadata and artifacts W
- Monitoring the accuracy of models in Prod and creating Visualisation for the busines
- Build reports/dashboard to show model effectiveness on business value metrics.
- Input data quality check for modelling pipeline and handling  data drifts over time

Qualifications:-
--A bachelor's degree (or higher) in statistics, applied mathematics, data science, engineering, operational research, computer science / software engineering or similar
--Knowledge of operational research, management science and optimisation techniques
--5+ years or experience in the use of statistical programming (sklearn, SAS, R) 
--Experience in the use of data processing frameworks (PySpark, Pandas) 
--Experience with data visualization (Tableau, Power BI)
--Familiarity with web and API interfaces (Java/Spring, Javascript, HTML etc.)
--Proficiency in SQL / NoSQL databases and Data-lake (Hadoop/Hive)
--Strong data analysis and presentation / visualisation skills including the ability to identify, extract, manipulate and use statistical methods to analyse large data sets, identify trends and patterns and the ability to uncover stories and in-depth insights
--Good model building skills combined with an ability to connect these with real world strategic alternatives, decisions and applications
--Experience and understanding of the operational aspects across banking and Financial industries. 
--Good commercial acumen with excellent interpersonal and client management skills
--Ability to clearly communicate to stakeholders and present using PowerPoint slides when required
--Intellectual curiosity, strong problem solving abilities and a commercial mindset
Education:
  • A bachelor's degree (or higher) in statistics, applied mathematics, data science, engineering, operational research, computer science / software engineering or similar

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - SG ------------------------------------------------------
Time Type :Full time ------------------------------------------------------
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Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
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