Model Validation Manager

Dynamics365Lab.io; Manila; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

Dynamics365Lab.io in Manila is seeking a Sr Manager, Data Analyst to partner across functions, validate business-impacting analytical tools, and guide strategic decisions. You will lead a network of analysts and data scientists on challenging projects that balance the bottom line with work-life balance.

The role emphasizes developing an enterprise-wide validation framework, planning projects, and mentoring junior staff while communicating results clearly in reports and presentations.

Qualifications

• Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field).
• 7+ years of experience in data analytics.
• 5+ years leading and developing with open source data technologies.
• 2+ years of experience managing people.
• Amenable to hybrid work setup; predominately work from home and night/late shift.

Responsibilities

• 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 tools used.
• Understanding technical issues in analytical tools and assessing tool risks and opportunities.
• Independently researching and prototyping industry best practices for emerging analytical tools.
• Clearly communicating results via validation reports and presentations.
• Coaching and mentoring junior staff.

Skills

Problem solving

Communication

Leadership

Data analytics

Mentoring

Education

Bachelor's degree in quantitative field

Master's or PhD in finance/ economics/ statistics/ math/ OR/related field

Tools

Open source data technologies

Job description

As a Sr Manager, Data Analyst, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

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

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