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트렌딩 기업

트렌딩 기업

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채용Mastercard

Forensics and Intelligence Data Analyst

Mastercard

Forensics and Intelligence Data Analyst

Mastercard

Singapore

·

On-site

·

Full-time

·

2w ago

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Forensics and Intelligence Data Analyst:

In the Financial Crime Solutions (FCS) team at Mastercard, we build and deliver products and services powered by payment data to detect and prevent financial crime. We are an award-winning team, combining advanced data science with deep payment expertise to help financial institutions combat fraud, scams, and money laundering by uncovering the criminal behaviors that drive them.

We are now building a new Centre of Excellence (COE) in Asia-Pacific, designed to act as a regional hub for the Cyber & Scam Centre. The Centre will drive scalable growth and robust delivery tailored to AP priorities, responsible for developing innovative solutions, use cases to the needs and priorities for AP. The COE aims to strengthen Mastercard’s leadership in anti-scam and fraud prevention through thought leadership and industry engagement.

Overview of Accountabilities:

This role is responsible for supporting the COE – cyber and scam vertical to develop and implement strategies via analysing data and identifying trends across suite of financial crime, identity and cyber solutions. This includes identifying new use cases, potential solutions, and helps to further develop data insights that can build on a consortium platform.

This role also manages product performance tracking, budget forecasting, drafting of white papers, developing narratives, managing communications and ongoing collaboration with internal and external stakeholders to enhance Mastercard’s FCS product offerings and national security postures across the Asia Pacific region.

Role:

  • Develop and implement AP COE and Cyber and Scam strategies. Align with other COE vertical leads, global counterparts, regional and divisional leads.
  • Analyse data, identify trends and new cases for different customer segments in FCS space (e.g. government, banks, ecommerce players etc). This includes management reporting
  • Monitor and evaluate product performance; ability to locate and use relevant data to support performance measurement, tracking, and product insights. Build reporting templates and tools
  • Analyze market trends (including local laws/ regulations), dynamics, and competition to inform product and go-to-market strategies
  • Engage in idea generation, concept validation, business case development, and in some instances financial modeling and planning
  • Become the subject matter expert on the required domain (Forensics and Intelligence Data Analysts) and use data to develop narrative and use cases to guide customers and internal stakeholders on FCS services and solutions

All About You:

  • Experience in Forensics and data Intelligence work within government agencies and familiarity with AP regulations, particularly on consumer protection law, anti-scam/ cybercrime regulations
  • is a plus. Otherwise, at the minimum, experience in Cyber and Scam space.
  • Knowledge of account-based payments industry, Financial Crime, fraud, scam, crypto and AML/CTF domain.
  • Strong communication and client presentation skills - ability to concisely communicate complex content in a simple, logical and compelling manner
  • Strong interpersonal relationship building and client management skills with experience in working with different customer segments (e.g. Compliance, regulators, government agencies and law enforcers)
  • Ability to embrace complexity, but deliver/articulate simplicity
  • Ability to navigate, influence and gain-buy in from key decision makers and other stakeholders to meet business objectives
  • Effective problem solver, identifying and mitigating risks, solving and / or escalating issues as appropriate
  • Excellent analytical skills with an ability to conduct structured analysis and synthesize large amounts of data
  • Ability to work on a team or independently
  • Bachelor’s degree in engineering, data analytics, business, or equivalent experience
  • Ideally 8 - 12 years prior related work experience and/or crypto enthusiast

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Mastercard 소개

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

직원 수

Purchase

본사 위치

$360B

기업 가치

리뷰

3.6

10개 리뷰

워라밸

4.1

보상

3.4

문화

4.0

커리어

2.3

경영진

3.2

65%

친구에게 추천

장점

Good benefits and compensation

Collaborative environment and great colleagues

Supportive work-life balance

단점

Limited career advancement opportunities

Management and leadership issues

Heavy workload and stress

연봉 정보

51개 데이터

Junior/L3

Director

Junior/L3 · Data Engineer

5개 리포트

$137,800

총 연봉

기본급

$106,000

주식

-

보너스

-

$107,900

$166,918

면접 경험

7개 면접

난이도

3.3

/ 5

소요 기간

14-28주

합격률

29%

경험

긍정 0%

보통 86%

부정 14%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience