Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.
We are currently looking for Model Development Managerfor one of our clients based in Philippines a full-time opportunity and Hybrid setup in BGC taguig. This is an exciting opportunity to expand your skill set, achieve job satisfaction and upgrade your skills. More details as below.
Job Details:
Role: Model Development Manager
Work Location: BGC Taguig
Employment Type: Permanent
Work set: 3days onsite in Taguig
Working hours: Normal day shift 9 hours
Skills- Minimum 3+ years experience in Data Science
Leads the end-to-end development of data-driven solutions, from translating business needs into data science projects, to building, deploying, and monitoring predictive models in production.
DUTIES AND RESPONSIBILITIES:
Data Exploration & Feature Engineering
- Lead data extraction, exploration, cleansing, and transformation of large and complex datasets
- Design, engineer, and validate features needed for predictive models and advanced analytics
- Build frameworks and data pipelines that combine telco datasets with digital, social, and external data sources to create a holistic customer view.
Model Development & Performance Management
- Translate business problems into clear data science approaches and model requirements
- Build, test, and deploy machine learning and statistical models that address business needs
- Track performance, accuracy, drift, and business value of deployed models
- Conduct periodic model tuning and ensure continuous improvement aligned with ROI goals.
Insights, Applications & Business Enablement
- Translate model outputs into clear insights, actionable recommendations, and campaign or operational strategies
- Identify new opportunities to apply data science, especially in customer behavior prediction, segmentation, and credit risk scoring.
- Partner with business teams to embed analytics solutions into decision-making and customer lifecycle programs.
HIRING REQUIREMENTS:
Work Experience
- Minimum of three (3) years experience in customer analytics domain and/or credit risk assessment and financial services, covering most of the following: data mining, predictive modeling, machine learning, statistical modeling and analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
- Proven track record of leading and collaborating on advanced analytics strategic initiatives; Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams
- Worked with large, unfiltered data sets or data science research
Level of Knowledge
- Has Knowledge of both structured and unstructured data
- Must possess core competencies, deep understanding and relevant experience in
- Scripting or programming experience: familiarity in programming languages with relational databases (e.g. Python, Java, Ruby, Clojure, Matlab, Pig, SQL);
- Statistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other analytical tools or software
- Big Data: Experience with Big data tools such as HDFS, Cassandra, Storm
- Database knowledge: skilled in structured database
- Familiar with most of the following disciplines:
- Conceptual modeling: to be able to share and articulate modeling;
- Predictive modeling: most of the big data problems are towards being able to predict future outcomes;
- Hypothesis testing: being able to develop hypothesis and test them with careful experiments;
- Natural Language Processing: the interactions between computer and humans;
- Machine learning: using computers to improve as well as develop algorithms;
- Statistical analysis: to understand and work around possible limitations in models.
Education
- Degree in quantitative discipline such as Statistics, mathematics, Operations Research, Engineering, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics
if you are interested and align, please share the application
CONSULTANT DETAILS
Preeti Gupta | Talent Acquisition Senior Specialist
[Confidential Information]
Reg No : R1223081
Avensys Consulting Pte Ltd
EA Licence 12C5759
