Mathematician

Posted 1 day ago

Director - Data Analysis

Position: Director - Data Analysis

Schedule: Night Shift

Work Set-up: Hybrid

Employment Type: Full Time and Direct Hire

About the Role:

As the Director for Data Analysis, you are responsible for validating enterprise-wide analytical tools to ensure quality, manage risks, and support effective business decision-making. Python programming skills to support testing, automation, and prototyping of analytical solutions.

• Develop and refine a framework for validating analytical tools across the organization.
• Plan, manage, and execute validation projects independently.
• Assess the methodologies, risks, and applications of analytical tools used across business processes.
• Provide clear communication of findings through validation reports, presentations, and stakeholder discussions.
• Collaborate with colleagues and leverage training to design innovative business solutions using coding and analytics.
• Mentor and coach junior staff for analytical problem-solving.

Job Qualification

• Bachelor's degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, or a related field (Master's degree preferred).
• Strong Python programming skills for automation, testing, and prototyping
• Solid understanding of analytical tools, quantitative models, and risk assessment frameworks.
• Excellent communication skills with experience preparing reports, presentations, and technical documentation for both technical and non-technical audiences.
• Strong problem-solving and critical thinking abilities, with a track record of driving process improvements and implementing best practices.

Pr. Analyst, Data Analysis

Posted today

Job Description

Pr. Analyst, Data Analysis

Summary:

• As a Pr. Data Analyst, this role will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. This role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. The role will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. This role will have the opportunity to lead multiple projects, drive strategic initiatives, and leverage cutting-edge technologies and innovative data practices to strengthen risk management strategies.

General Responsibilities

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies

Data Management

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

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 5 years of experience performing data analytics

• At least 3 years of experience working with at least one scripting language
• At least 3 years of experience utilizing a business intelligence visualization tool

At least 3 years of experience in querying, analyzing and working with data languages and platforms

Skills Required:

Scripting experience in (Python, R, Spark, and SQL)

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
• Experience utilizing and developing within AWS services
• Willing to work in a night shift schedule
• Willing to work in a hybrid schedule
• Willing to work in Alabang

Preferred Qualifications

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 4 years of experience coding in Python, R, Spark, or SQL
• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 2 years of experience leading multiple projects
• At least 2 years of experience utilizing and developing within AWS services
• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

DWS - Business Functional Analyst - Financial Reporting and Data Analysis/Modelling - AVP

Posted today

Job Description

Job Title: TDI - Business Functional Analyst

Location: Manila

Business Functional Analysis is responsible for business solution design as a whole in complex project environments (e.g. transformational programmes).

You can expect

• Medical and Life Insurance upon employment

Your key responsibilities

• Perform high-volume, content-driven data analytics to support regulatory reporting requirements
• Contribute to the conceptual design and customization of data warehouse components
• Develop and maintain business data models to support evolving reporting needs
• Conduct business impact analysis and reverse engineering analysis of existing systems and data flows
• Identify and analyze data trends to drive insights and improvements
• Define, document, and manage business and technical requirements in collaboration with stakeholders
• Proactively manage the investigation and resolution of data issues impacting regulatory reporting metrics
• Analyze root causes and liaise with business teams to drive strategic, long-term fixes

Your skills and experience

• Analytical skills with hands-on experience in high-volume data analysis (Essential)
• Experience of IT analytics tools and technologies such as SQL, Python, and related data processing frameworks (Essential)
• Experience with Axiom regulatory reporting platforms
• Understanding of Risk Control, Accounting, Treasury, and/or Finance functions
• Appreciation of Investment Banking products and core regulatory metrics such as RWA, Leverage Ratio, and Capital Adequacy
• Familiarity with front-to-back system architecture and data flow across banking operations
• Amenable to midshift - 2pm to 11pm
• Amenable to hybrid work model

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