Risk Model Officer | Makati

SB Finance; Philippines; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

SB Finance is seeking a Risk Model Officer in the Philippines to design scorecard strategies, back-test external models, and support monitoring and recalibration under risk policies. You will develop data processing programs, generate reports, and collaborate with cross-functional teams to translate data trends into actionable business decisions.

The role requires 2+ years of relevant experience, strong analytical skills, English proficiency, and attention to detail.

Qualifications

• Bachelor's or Master's in Statistics, Mathematics or related field.
• Minimum 2 years in data analysis or model risk management.
• Understanding of finance and banking models and portfolio management.
• Experience with SAS, SQL or R and data tooling.

Responsibilities

• Conduct data preparation, model development, documentation, and implementation support.
• Back-test, monitor, and create score strategies using alternative scores.
• Ensure model appropriateness with monitoring reports and recalibration.
• Collaborate with departments to understand performance trends and reporting needs.
• Develop data processing programs and reporting tools using SAS or similar software.
• Deliver model-related project work within committed timelines.
• Generate regular and ad hoc reports for internal Risk teams and units.
• Provide insights on data trends and assist in refining business decisions.
• Support end-to-end model management framework for growth within risk appetite.

Skills

Analytical thinking

English proficiency

Communication

Detail-oriented

Team player

Education

Bachelor's/Master's in Statistics/Mathematics or related field

Tools

SAS

SQL

R

Excel

Job description

THE ROLE

The Risk Model Officer is primarily responsible in executing model management related initiatives which focuses mainly on, but is not limited to, 1) designing scorecard strategies to optimize profits and asset growth, 2) back-testing of external models for business use, and 3) supporting model monitoring and recalibration activities, in compliance with risk policies, regulations, and governance requirements.

DUTIES/RESPONSIBILITIES

• Conduct data preparation, model development, documentation, and implementation assistance to support model management activities.
• Back-test, monitor, and create score strategies using alternative scores such as telecom score and bureau score.
• Ensures model appropriateness using scorecard/rating monitoring reports to make necessary model adjustments and recalibration.
• Collaborates with various departments through regular discussions to have a better understanding of the performance data trends and other reporting requirements.
• Proactively asks questions or clarifications for any data inconsistencies.
• Develops data processing programs and reporting tools using SAS or other similar software to efficiently generate standardized reports and easily capture quantitative data.
• Ensures deliverables on model-related projects are within the committed timeline.
• Generates regular and ad hoc reports for analysis and presentation to the internal Risk team and supporting functional units.
• Provides insights on data trends, helps to investigate, and highlights the findings to the team/relevant stakeholders to aid in refining business strategies and decisions.
• Performs other related tasks which may be assigned from time to time by the Line Manager to support same objective of setting up and executing a robust end to end model management framework for business growth and development within the set business risk appetite.

QUALIFICATIONS

• Bachelor's/Master's Degree in Statistics, Mathematics, or related fields
• More than 2 years of relevant work experience in data analysis and model risk management and/or related field
• Understanding of finance, banking business, and consumer lending (secured and unsecured) model risk and portfolio management
• Knowledgeable in management of risk models (internal and external)
• Experience with data tools – SAS, SQL, R, etc
• Strong analytical skill and logical thinking
• Advanced computer skill especially Microsoft Excel
• Proficiency in English both speaking and writing
• Good organization and communication skill
• Keen to details
• Result-oriented and a team player
• Work under pressure to deliver multiple tasks within timeline
• Can do attitude and learning mindset
• Ability to build good relationship and trust with cross functional team and business leader
• Proactive with initiatives aligned with business direction
• Values integrity at work and trustworthy