[AIT] Data Analyst (Beginner) (MAX 3840)

Location: Singapore
Job type: Contract
Salary: 3500 to 4200
Contact email: careersrise@bcg.com
Job ref: MAX 3840
Published: 17 days ago
Startdate: 17 April 2024 - 17 April 2024

Work Location: MBFC

Contract Type: 12 months contract

Headcounts: 1

Monthly salary: $3500 - $4,200

Job Description

1. Job Overview

We are looking for a Fraud Risk Analyst to be responsible for identifying and remediating potential mules/scam-related risks within the Institutional Banking Group while providing strategic support to the Fraud Review Team.

The ideal candidate should demonstrable analytical skills along with a passion for research and discovery.

 

2. Responsibilities

-Use data driven insights to improve effectiveness and recommend process optimization(s)

-Identify new and emerging fraud patterns using data analytics, reports and systems

-Escalate complex or unresolved fraud risk to stakeholders as required

-Educate stakeholders on emerging fraud threats

-Embrace new approaches to increase efficiencies, improve fraud detection and reduce risk

-Actively support the Group’s Anti-Fraud strategy and other related functions

 

3. Requirements and skills

-Self-initiated to resolve issues, with demonstrated ability to understand and identify appropriate solutions and/or alternatives

-Strong interpersonal and communication skills

-Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

-Honest and ethical with high levels of integrity and confidentiality

 

4. Qualifications

-Bachelors' degree in Mathematics, Computer Science, Information Management or Statistics or related

-1-2 years’ experience as a Data Analyst or Business Data Analyst

-Proficient in Microsoft Word, Excel, Power point

-Proficient in Python and JavaScript; experience with SQL is preferred.

-Experience with common data science toolkits, such as Pandas, NumPy, Pyppeteer, Matplotlib. Experience in ML toolkits such as scikit-learn is a plus.​