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Manager, Data Science

Tink

Kuala Lumpur

On-site

MYR 90,000 - 120,000

Full time

30+ days ago

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Job summary

A global payment technology leader is seeking an experienced data scientist to lead data analytics projects. You will utilize large datasets to provide insights and solutions for key clients while fostering innovation within the team. Candidates should have over 8 years of experience, strong analytical skills, and be proficient in tools like Python and SQL. This is a hybrid position based in Kuala Lumpur.

Qualifications

  • 8+ years of relevant work experience or 4 years with an advanced degree.
  • Extensive experience in data extraction and analysis.
  • Experience in financial services is a plus.

Responsibilities

  • Lead data science projects for key clients.
  • Analyze data with statistical software.
  • Deliver analytics projects providing actionable insights.

Skills

Data analysis
Statistical modeling
Machine Learning
Communication of insights
Data visualization

Education

Bachelor's Degree or Advanced Degree

Tools

Python
R
SQL
Tableau
Power BI
Job description
Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Specific Responsibilities include

  • Lead, execute, and deliver data science projects for Visa's key clients.
  • Develop project scopes, methodologies, and implement solutions using appropriate tools.
  • Analyze data using statistical software like Python or R.
  • Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools.
  • Maintain quality control and documentation for projects.
  • Innovate with Visa's and client data to meet needs.
  • Enhance techniques by promoting new methodologies.
  • Foster thought leadership and innovation in data science.
  • Manage communication with clients and stakeholders.
  • Mentor and supervise data scientists in the team.
  • Deliver analytics projects providing actionable insights.
  • Identify opportunities for innovation using new techniques.
  • Manage stakeholders effectively.
  • Build visualization capabilities to address client problems.
  • Identify market trends through deep analysis of payment industry information.
  • Perform client-specific analysis on portfolio data.
  • Manage the transfer of technical knowledge for business solution implementation.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications
  • 8+ or more years of relevant work experience with a Bachelor's Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, PhD)
  • Extensive experience working with or on the following items:
  • Advanced M/L, D/L algorithms, and Generative A.I.
  • Extracting and aggregating data from large sets using SQL/Hive or Spark.
  • Analyzing large datasets with Python, R, SQL, or Spark.
  • Creating visual insights using software such as Tableau and Power BI.
  • Communicating data-driven insights and recommendations.
  • Building predictive and descriptive models with various tools.
  • Performing data mining and statistical modeling.
  • Prior experience in financial services is a plus.
  • Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.).
Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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