Model Development Manager

Job Description

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 Manager
who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Title: Model Development Manager

Location: Taguig

Hybrid: 3 days work from office

Job Description

The Model Development Manager is responsible for managing analytics projects from development to operationalization, performing analysis and predictive modelling and helping drive the change management process. Responsible for ensuring machine learning jobs are running in production and provide integration to existing and new systems.

DUTIES AND RESPONSIBILITIES:

The responsibilities of this position will include but will not be limited to the following:

Data Management and Exploration

• Extraction, exploration and manipulation of large and complex data sets
• Designing and derivation of transformed variables for predictive modeling/advanced analytics
• Develop big data framework combining telco data with various external sources of data (digital, social, etc) to get a 360-degree view of the customer
• Help internal stakeholders in understanding, interpreting and analyzing massive data sets

Data Analytics and Modeling:

• Understand and translate business problems into data science projects.
• Perform data modeling and create sophisticated analytics models. Implement and test data modeling designs. Use advanced math and statistics expertise using massive (beyond 500GB) data. Use modern data analytical techniques working with information retrieval, machine learning, matrix and graph algorithms, unsupervised clustering & data mining to solve business problems
• Track model accuracy and effectiveness
• Identify model fine-tuning needs; Measure ROI from models developed

Campaign Expertise

• Translate model into results. Draws out and communicates useful insights, actionable interpretations, alternative approaches and solutions.
• Identify opportunities for the application of customer analytics techniques for the business, particularly for credit scoring.
• Use learnings from models to prioritize and sequence initiatives; Collaborate with business sponsors and different stakeholders to operationalize analytic findings.

Knowledge Transfer and Collaboration

• Support internal stakeholders in use of data and various analytical tools to generate and communicate insights
• Provides training, demonstration, documentation and other support to drive the change management process and expand the use of analytics throughout the organization
• Support the drive for change management process to ensure the analytical developments are adopted by relevant internal teams.
• Develop relationships with external data and analytics partners and interact as needed.
• Keep updated with new data science techniques and be extremely knowledgeable of industry standards and trends.

TOP 3-5 DELIVERABLES:

• Present easy-to-understand datasets to internal and external stakeholders
• Develop and maintain data analytics models
• Test data model designs

Hard:

• Programming languages with relational databases
• Statistical analysis software
• Certification/License:

COMPETENCIES:

Core:

• Stakeholder Relationship Management
• Data Science and Big Data Analytics Knowledge
• Analytics Strategy Execution
• Analytics Strategy Planning
• Data and Business Insighting
• Model Planning and Development

Support:

• Project Management (GEN)
• Presentation
• Communication
• Model Management and Business Realization

Emerging:

• Strategic Thinking
• Business Acumen

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

WHAT'S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to
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Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS:

Consultant Name : Seema Verma

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement:

We take your personal data protection seriously and adhere to both EU and local data protction regulations.

Upon submission of your CV, you grant Avensys Consulting permission to retain your personal information in our electronic database, unless you specify otherwise. This data will be used to evaluate your suitability for current and potential job openings within our organization. Should you wish to have your personal data removed at any point, a simple notification to us will suffice.

Rest assured, we will not disclose your personal information to any third parties, and we remain steadfast in our commitment to providing equal opportunities to all applicants.