Data Analytics Manager
Data Analytics Manager
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Job Description
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 modelsincluding 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
Bachelors degree (or equivalent) in a quantitative discipline such as Statistics Mathematics Computer Science or Engineering.
Minimum 4 years of hands-on experience developing and validating machine learning models particularly in collection risk or credit scoring for financial products in Multifinance / BNLP (Buy Now Pay Later).
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.
Expertise in feature engineering across diverse data types (structured and unstructured).
Proven track record in developing and deploying machine learning 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.
Experience across multiple analytics domains (e.g. risk marketing fraud) is a plus.
Benefits
- Private Health Insurance:
Insured: Individual spouse 2 children
Coverage: Inpatient Outpatient Dental Optic Maternity
- Annual Bonus & Performance Bonus
- Working Tools Provide
Required Experience:
Manager
Employment Type
Full-Time
