Risk Analytics and Modelling, HSBC

HSBC

Location:
Mexico, Cuauhtemoc

Category:
IT - Administration

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

Coordinate and manage credit card lifecycle projects, support digital enhancements and engagement campaigns, analyze data to identify trends and opportunities, and communicate findings to stakeholders while ensuring accuracy and compliance.

Job Responsibility:

Coordinate and manage projects related to the credit card lifecycle
support execution of larger-scale initiatives including digital enhancements
implement company policies and achieve functional objectives
monitor quality and efficiency of tasks
provide subject-matter expertise on credit card portfolio dynamics
identify and escalate issues impacting product performance or customer experience
communicate technical or sensitive information effectively
support credit card-related change management initiatives
analyze KPIs across the credit card lifecycle
develop dashboards and visualizations
identify patterns and opportunities using data to support portfolio growth
collaborate with teams to translate data findings into actionable recommendations
ensure data accuracy and integrity
escalate data issues and suggest improvements
monitor risk distribution for alignment with risk appetite
conduct data analyses to identify opportunities in credit policy
deliver risk reports on time
participate in proof of concept for new analytical tools.

Requirements:

Background in actuarial science, mathematics, economics, or related quantitative fields
advanced Excel with experience on pivot tables, advanced filters, conditional format, macros, solver, connection with external data and creation of dynamic dashboards with slicers
proficiency in any programming language, certifications or proof required, additional points for SAS, SQL and Python
intermediate English level to produce comments for global stakeholders
ability to learn new concepts independently
attention to detail to identify errors and implement controls
strong communication skills to explain complex technical concepts
knowledge of Credit Risk including key KPIs like PD, LGD, and CCF
knowledge of Financials and profitability ratios like RoTE
understanding of Statistics including linear regressions and model performance indicators like Gini, PSI, and confusion matrix.

Nice to have:

Experience with tools for data visualization
programming proficiency in SAS, SQL, and Python
knowledge of additional programming languages.

What we offer:

Inclusive and diverse workplace
continuous professional development
flexible working
opportunities for growth.

Additional Information:

Job Posted:
May 01, 2025

Expiration:
May 15, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Risk Analytics and Modelling