Model Validation Manager

Hammerjack Pty Ltd; Philippines; Hybrid; PHP 72,000 - 88,000; Full time

Job summary

Hammerjack Pty Ltd seeks a senior data analytics leader to refine an enterprise-wide validation framework and drive validation projects. The role involves evaluating tool methodologies across processes resembling Capital One and addressing tool risks and opportunities.

The ideal candidate has 7+ years in data analytics, 5+ years leading open-source data tech, and 2+ years of people management, with a hybrid/wfh setup and willingness for night or late mid-shift schedules.

Qualifications

• At least 7 years of experience in data analytics.
• At least 5 years leading and developing with open source data technologies.
• At least 2 years of experience managing people.
• amenable to hybrid work; predominantly work from home.
• amenable to night shift or late mid-shift schedule.

Responsibilities

• Refining a new enterprise-wide analytics tools validation framework.
• Planning and executing validation projects.
• Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes.
• Understanding technical issues in analytical tools and assessing tool risks and opportunities.
• Independently researching, identifying, and prototyping industry best practices for emerging analytical tools.
• Communicating results clearly and concisely via validation reports and presentations.
• Leveraging education, colleagues and training opportunities to develop solutions to business problems.
• Coaching and mentoring junior staff.

Skills

Data analytics

Open source data technologies

People management

Communication skills

Leadership

Hybrid / night shift flexibility

Education

Bachelor's degree in quantitative field

Master's or PhD in Finance/Economics/Statistics/Mathematics/OR related field

Job description

General Responsibility:

• Refining a new Enterprise-wide analytical tools validation framework
• Planning and executing validation projects
• Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
• Understanding technical issues in analytical tools and assessing tools risks and opportunities
• Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
• Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
• Leveraging education, colleagues and training opportunities to develop solutions to business problems
• Coaching and mentoring junior staff

Salary: 80k

JOB SPECIFICATIONS/QUALIFICATIONS

Basic Qualifications:

• Educational Background: Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)

Professional Experience:

• At least 7 years of experience in data analytics
• At least 5 years of experience leading and developing with open source data technologies
• At least 2 years of experience managing people
• Amenable to work in a hybrid set up; pre dominantly work from home
• Amenable to work in a night shift and or late mid shift schedule

Skills Required:

• Possessing strong problem solving and conceptual thinking abilities
• Excellent communication skills , interpersonal and leadership skills

Preferred Qualifications:

• Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
• At least 7 years of experience in statistical or econometrics hands-on work
• At least 5 years of experience manipulating and performing analysis with large data sets
• At least 5 years of experience in financial services industry
• At least 5 years of experience in developing statistical or econometric models
• At least 5 years of experience in validating statistical or econometric models
• At least 2 years of experience with data governance
• At least 2 years of experience with predictive analytics