PT Bank OCBC NISP, Tbk
PT Bank OCBC NISP, Tbk

Data Scientist Lead  

PT Bank OCBC NISP, Tbk

 
  • South Jakarta, Indonesia
    South Jakarta, DKI Jakarta, Indonesia
    South Jakarta
    DKI Jakarta
    Indonesia
    Indonesia
  • Full timeFULL_TIME

Expired 2 years ago

2021-11-11T17:00:00+00:00
Job closed.

Job Description

A Data Scientist is a specialist in doing deep-dive analytics, with advanced-level proficiency in data analytics by applying data science methodology, creating model algorithms (Mathematics or Statistical Model), data mining technique and storytelling delivery skills. He/she will perform data science practice for our Lending and Funding Business who will be instrumental and decisive in developing advanced analytics assets (but not limited to Credit Scoring, Propensity Model, Predictive Model, Recommender System, Risk Model Support, etc ) to support tribes’ objective key result and optimal business outcome.

Key Responsibilities

  • As Data Scientist in Lending and Funding squad, responsible to Determine, apply, and do tuning the algorithms within Machine Learning and drive it until the production stage
  • You will work closely with Tribe Leaders, Product Managers & Data Team in identifying potential data science solutions to improve Lending and funding portfolio‘s performance
  • Consolidate, verifying, analyzing, from operational data, transaction data, marketing data, and external data to develop hypotheses and building potential quick win use case or business improvement recommendation
  • Hand in hand with data engineering and IT team identifying potential available data, for developing the business DataMart, build the models, train the model, validate, test it and fine tuning on real world use case
  • Collaborate with the Data Engineer and Business Unit Leads to determine the system technical requirement and functional specifications
  • Based on defined business model, the data scientist will collaborate to do prototyping diverse machine learning models, such as but not limited to: Credit Scoring, Predictive Model, Propensity to Buy, Attrition Analysis, Recommendation Engine, etc
  • In charge and comfortable in model presentation, articulating, communicating in concise, effective and clear communication during the model development towards line of business, risk team and technical team

Minimum Qualifications

Job Requirements:

  • Minimum Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering and related major is preferred
  • Minimum 2 years experience as Data Scientist at Banking, Financial Services / FinTech Company
  • Comfortable in scripting and strong in some of the following programming languages: R, Java, Python with experience to apply Machine Learning frameworks and libraries (TensorFlow, Keras, Spark MLlib, Sklearn, pandas, etc)
  • Familiar or has basic knowledge in one of data processing with statistic tools (SAS, SPSS, KNIME, Matlab, etc)
  • Intermediate to advanced knowledge in some of data science methodologies either classic or black box including but not limited to classical regression, neural network, association rules, sequence analysis, classification, cluster analysis, gradient boost, text mining, etc.
  • Solid analytical and problem-solving skills to interpret, derive and create data-driven insights
  • Actively contribute in all aspects of ML model development: data wrangling, feature engineering, model selection / architecture, training, offline evaluation, plans A/B experimentation & roll out (production)
  • Passionate and/or practicing in data technologies (Big Data, ETL, visualization, AI, ML, Deep Learning, etc) and care with details, numbers, and data quality.

Perks and Benefits

  • Paid Sick LeavePaid Sick Leave
  • Retirement Benefit PlansRetirement Benefit Plans
  • Performance BonusPerformance Bonus
  • Medical / Health InsuranceMedical / Health Insurance
  • FlexitimeFlexitime

Jobs Summary

Job Level
Mid-Senior Level / Manager
Job Category
IT and Software
Educational Requirement
Bachelor's degree graduate
Recruiter response to application
Often
Office Address
Jl. Prof. Dr Satrio Blok C4 No.25, RT 14/RW 4, Kuningan Timur, Setiabudi
Industry
Banking
Vacancy
1 opening
Website
https://www.ocbc.id/

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About PT Bank OCBC NISP, Tbk

OCBC Indonesia (formerly known as OCBC NISP) is the fourth oldest bank in Indonesia, which was founded in April 4th 1941 in Bandung under the name of NV Nederlandsch Indische Spaar En Deposito Bank. OCBC Indonesia then grown to be a solid and dependable bank, especially in providing service for small business segments. It officially became a commercial bank in 1967, Foreign exchange bank in 1990 and public corporate in Indonesia Stock Exchange in 1994. In the end of 1990, OCBC Indonesia managed to pass the Asia monetary crisis and the fall of banking industry without any recapitalization obligation aid from the government. OCBC Indonesia became one of the first few banks to resume lending during the crisis. This initiative enabled the Bank to note a high growth. OCBC Indonesia good reputation and its promising growth has attracted the interest of International Finance Corporation (IFC), a part of World Bank Group, which then became a shareholder in 2001-2010 and from OCBC Singapore which then became the shareholder OCBC Indonesia. With the support from OCBC Bank-Singapore, OCBC Indonesia has implemented aggressive programmes to strengthen the infrastructure, human resources, information and technology, as well as office networking. PT Bank OCBC NISP, Tbk is licensed and supervised by the Otoritas Jasa Keuangan (OJK) and is an LPS participant.

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