Data Management Engineer

ADVANCE.AI

Metro Manila

On-site

PHP 600,000 - 900,000

Full time

9 days ago
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Job summary

ADVANCE.AI is seeking a data processing professional to manage end-to-end data workflows for credit bureau sources, ensuring high-quality results and secure data movement. You will collaborate with data owners and stakeholders to align with data policy and ISMS requirements.

The role requires a Bachelor’s degree in CS/Statistics/Math, 3+ years in finance/data industries, and strong SQL/ETL skills. English communication is essential, with ability to handle multiple tasks in a fast-paced fintech

Qualifications

  • Bachelor’s degree in computer science, statistics, mathematics, or related field.
  • 3+ years of experience in credit bureau, banking, financial services, fintech, or related industry.

Responsibilities

  • End-to-End Data Processing for all credit bureau data sources with high quality results.
  • Communicate with internal and external data owners and stakeholders.
  • Ensure data processing meets company data policies and ISMS requirements.
  • Manage data movement security and monitor data quality.
  • Support clients with data mapping and problem solving.
  • Provide accurate data reports in a timely manner.

Skills

Data analysis
Data governance
Problem solving

Education

Bachelor’s degree in CS/Statistics/Math

Tools

ETL tools

Job description

ADVANCE.AI is a leading AI company that provides digital transformation, fraud prevention, and process automation solutions for enterprise clients. A leader in Artificial Intelligence, risk management and digital lending solutions, it currently partners over 500 enterprise clients across banking, financial services, fintech, payment, retail and e-commerce sectors. ADVANCE.AI has a global footprint across 11 markets in 3 continents.

ADVANCE.AI is part of Advance Intelligence Group, a Series D-backed Tech Unicorn valued at US$2 billion, and also one of the largest independent technology startups based in Singapore. Founded in 2016, the Group has presence across Southeast Asia, Latin America and Greater China. The Group is backed by top tier investors SoftBank Vision Fund 2, Warburg Pincus, Northstar, Vision Plus Capital, Gaorong Capital, Pavilion Capital, GSR Ventures and Singapore-based global investor EDBI.

Advance Intelligence Group employees are united by a shared vision and purpose: to Advance with Intelligence for a Better Life--for our customers, colleagues and communities.

Our culture is built on values that are core to who we are and what we stand for:
  • We foster an INNOVATION mindset
  • We achieve results with EFFICIENCY and excellence
  • We take pride in the QUALITY of our work
  • We uphold INTEGRITY in all we do
  • We embrace COLLABORATION to work across business lines and borders
About the Role
Responsibilities
  • End-to-End Data Processing for all credit bureau data sources with high quality results.
  • Communicate with internal and external data owners and stakeholders.
  • Ensure all data processing meets company goals, specifically based on data policies.
  • Secure data movement and comply with ISMS requirements.
  • Managing and utilizing proper ETL tools in daily activities.
  • Solving any data issues: missing, invalid, duplication, matching, etc.
  • Managing database maintenance and backup.
  • Supporting clients: data mapping, data contribution, problem solving
  • Providing accurate data reports in a timely manner.
  • Handle full process of data dispute resolution.
  • Demonstrate data quality checking continuously, propose and implement technical solutions to improve data quality.
Requirements
  • Bachelor’s degree in computer science, statistics, mathematics, or related field.
  • Experience in credit bureau, banking, financial institutions, financial technology, non-financial institutions or other related industry for at least 3 years.
  • Experience in using and processing Credit Information Corporation (CIC)'s credit information data.
  • A thorough and proven understanding of data management and administrative policies.
  • Familiar with modern, high-tech databases, IT systems and ETL tools.
  • Proficient at digesting, understanding, and analyzing large amounts of data.
  • Attention to detailed statistical information and data issues.
  • Solid working knowledge of data processing and data security policy.
  • Ability to complete multiple tasks with multiple deadlines and excellent at problem-solving under pressure with high attention to setting the priority.
  • Good verbal and written communication skills, mostly in English.
  • Confident in making good decisions with given information.
  • Self driven and team work experience with good interpersonal, team and cross team skills.
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