Data Analytics Manager

Trades Workforce Solutions; Indonesia; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A financial services technology provider is seeking a Data Analytics Manager in Indonesia to lead the development of predictive models for credit risk and fraud prevention. This role requires a strong background in machine learning, with at least 4 years of experience in model development and 2 years in a leadership capacity. The successful candidate will work closely with stakeholders to translate business problems into actionable solutions while overseeing the entire modeling lifecycle.

Benefits

Private Health Insurance: Individual + spouse + 2 children

Annual and Performance Bonuses

Working Tools Provided

Qualifications

• 4+ years of experience developing machine learning models, especially in credit scoring.
• 2+ years in a leadership role managing data science teams.
• Strong understanding of statistics and business problem translation.

Responsibilities

• Lead development of predictive models for financial business optimization.
• Manage lifecycle of predictive models from design to deployment.
• Communicate insights effectively to stakeholders and align analytics strategy.

Skills

Machine learning techniques

Feature engineering

Statistical principles

Analytical communication

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, or Engineering

Job description

About the company

Geekhunter is hiring on behalf of our client, an Independent Software Provider offering comprehensive end-to-end solutions tailored for financial businesses.

Job Responsibilities

• As the Data Analytics Manager, you will lead the development of predictive models that drive strategic decision-making in areas such as credit risk, collections, fraud prevention, and broader business optimization within the financial services sector. You will be responsible for the full lifecycle of model development, from design to deployment, while collaborating with stakeholders to turn complex data into actionable insights.
• Build and deploy predictive models for credit risk assessment, collection strategies, fraud detection, and other financial business applications.
• Manage the full end-to-end lifecycle of predictive models—including design, development, validation, deployment, and ongoing performance monitoring.
• Engineer advanced predictive features from internal datasets and evaluate external data sources to enrich customer profiles.
• Translate complex business problems into robust analytical model frameworks.
• Communicate insights clearly and effectively to various stakeholders, align teams with the analytics strategy, and drive buy-in across departments for data initiatives.

Job Requirements

• Bachelor’s degree (or equivalent) in a quantitative discipline such as Statistics, Mathematics, Computer Science, or Engineering.
• Minimum 4 years of hands-on experience developing, evaluating and monitoring machine learning models, particularly in collection risk or credit scoring for financial products.
• At least 2 years of experience in a leadership role managing analytics or data science teams.
• Strong understanding of mathematical and statistical principles.
• Proficient in machine learning techniques such as bagging, boosting, and recommendation systems, etc.
• Expertise in feature engineering across diverse data types (structured and unstructured).
• Proven track record in developing and deploying machine learning analytics models in production environments.
• Ability to balance model performance with business practicality and constraints.
• Strong business acumen with the ability to translate business problems into data science solutions.
• Excellent communication skills with the ability to work closely with non-technical stakeholders including business stakeholder & understand business needs.
• Experience across multiple analytics domains (e.g., risk, marketing, fraud) is a plus.

Benefits

• Private Health Insurance: Individual + spouse + 2 children
• Coverage: Inpatient, Outpatient, Dental, Optic, Maternity
• Annual Bonus & Performance Bonus
• Working Tools Provide