Keywords / Skills : Data Science, Data Scientist, Data Modeling, Data Analyst, Data Analytics, Adobe Analytics, SQL, SAS, Python, Tableau Developer, QlikView, Hadoop, Big Data, Big Data Developer, CRM Tools, Algorithm, Data Visualization
This role is on behalf of a banking client of HackerTrail. You will be part of a very vibrant and dynamic team that is innovating the way the customers engage with bank through the most customized experiences possible. In joining as a Data Scientist, you’ll be in a key role that helps deepen the customer interactions by applying advanced data analytics. We will be expecting you to have extensive experiences in data science and analytics field – developing models, rules and algorithms from structured and unstructured sources and performing deep-dive analysis to derive data-driven decisions.
Responsibilities
Apply statistical tools/models to perform advanced data analytics, identify key underlying drivers for growing customer engagement and business opportunities, and recommend a clear action plan going forward.
Develop and implement artificial intelligence algorithms, rules and rapid prototypes from big data sets that will be fed into various business programs.
Behavioral segmentation based on customer journey, profiles, transaction patterns, and app activities that will lead to highly personalized customer insights.
Design and monitor A/B testing and various engagement activities.
Perform deep-dive analysis to solve various business problems arising from marketing, dynamic incentive programs, and campaign management.
Build and automate intuitive dashboards that help visualize and answer complex business problems.
Requirements
Analytical mind with sound business insights. Ability to translate the business problems and requirements into analytics solutions.
Knowledge of a variety of predictive models, machine learning algorithms and statistical techniques, e.g. logistic regression, decision tree, clustering, neural networks, support vector machines, principal component analytics, natural language processing.
Knowledge of CRM platforms, campaign management, and A/B testing.
Experience in Adobe Analytics / Adobe Campaign is a plus.
Proficiency across the core statistical toolsets (SQL, SAS, R, Python), data visualization tools (Tableau, Qlik) and Hadoop ecosystem.
In-depth knowledge of digital banking, banking products and the overall industry a strong plus
Good verbal and written communication skills.
University degree, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting.
Minimum 3 years working experience in data analytics or business intelligence units, preferably in financial industry.
HackerTrail is a curated marketplace exclusively for IT talent ranging from developers to infrastructure specialists to data scientists. Using clever technology and gamification, HackerTrail connects the right candidate to the right job opportunities with top companies across Southeast Asia.
Data Analyst,Data Analytics,Big Data,Big Data Developer,Big Data Consultant,SQL,Python,Spark,Consulting,Pre Sales Manager,Developer,Software developer,Software engineer,Programmer
Job Description :
To ensure customer service and support all operations. To create customer delight at every interaction.
Interacting with external customers and internal customers and addressing their queries, requests and complaints.
Committed TATs are met consistently
Complaints Management- addressing customer complaints at the branch, system updation, coordination with Sales/HUB/ other functions for resolution.
Policy Servicing:-
Refunds processing and dispatch
Undelivered policy documents tracking and management.
Maintenance of all files and registers.
New Business Processing:-
Handling end to end New business processing starting from creation of Client id,Case start up, New business login, Follow up for policy issuance, Quality Check
Follow up with HUB for policy issuance of pending cases
