Total 4 Full-time Social Media Analyst job vacancies in KUALA LUMPUR

Job Purpose: Enhance the decision-making culture within financial crime capabilities by leveraging fact-based analysis. The role focuses on fraud analytics, particularly for card and digital transactions, to improve fraud detection and minimize false positives.

Key Responsibilities:

• Develop and optimize fraud detection parameters using data scripting and selection.
• Identify trends and correlations in data to refine fraud surveillance rules and parameters.
• Analyze complex datasets with statistical methods and visualization to uncover new fraud risks.
• Gain deep understanding of existing fraud surveillance systems and data structures.
• Research and compile internal and external data for comprehensive analysis.
• Understand and develop data visualization scripts and modules.
• Stay informed about new fraud trends and data analysis techniques.
• Collaborate with teams to translate fraud prevention goals into data-driven rules and models, and develop solutions based on scientific methods.
• Guide junior staff in their daily tasks and professional development.

Requirements:

1. Education: Degree in Actuarial Science, Computing, Mathematics, Physics, Engineering, or Applied Mathematics.
2. Technical Skills:
   • Proficiency in SQL, MS Excel, and SAS.
   • Experience with data science tools such as R, NumPy, MatLab, and data frameworks like Hadoop.
3. Modeling: Experience in constructing mathematical models.
4. Machine Learning: Strong understanding of techniques and algorithms including k-NN, Naïve Bayes, and Decision Forest.
5. Statistics: Applied skills in distributions, statistical testing, and regression methods.
6. Industry Knowledge: Understanding of fraud detection and prevention in the financial industry.
7. Fraud Analytics: Strong grasp of fraud analytics concepts.

Personal Attributes:

1. Data Privacy & Compliance: Strict adherence to data privacy and compliance protocols.
2. Analytical Skills: Strong logical and critical thinking with meticulous attention to data handling.
3. Problem Solving: Ability to solve complex problems and think creatively.
4. Communication: Excellent skills in articulating results and insights clearly.
5. Adaptability: Willingness to learn and adapt as necessary.
6. Listening Skills: Excellent at listening and understanding others.

• Top-Notch employee benefits.

Company: One of Southeast Asia's largest and most reputable banks, offers comprehensive financial services and is renowned for its commitment to sustainability and community development.

Responsibilities:

• To support the end-to-end process of compiling & validating Global Banking’s monthly Sustainable Finance achievements, maintaining good working relationships with stakeholders.
• To assist on providing updates to internal stakeholders on ESG trends as well as general ESG updates for various working groups.
• To assist on elevating GGB's thought leadership to be the Sustainability Leader in SEA. This task includes preparing research / notes for the speaking engagements of key team members.
• To assist on research and submission of ideation on client decarbonisation and transition finance for GB’s consideration.
• To assist on preparations for engagements with clients on strategies on how to decarbonise their enterprise.

Requirements:

• Results driven and fast learner.
• Good command in oral and written communication skills.
• High level of interpersonal skills, able to work as a team, as well as independently.
• Excellent organizing skills, analytical, assertive, and able to work in meeting deadlines.
• High proficiency with Microsoft Word, Excel and PowerPoint.

Top-Notch employee benefits.

工作目的：透過利用基於事實的分析，增強金融犯罪能力內的決策文化。該職位的重點是詐欺分析，特別是卡片和數位交易的詐欺分析，以改善詐欺偵測並最大限度地減少誤報。

主要責任：

• 使用資料腳本和選擇來開發和優化詐欺偵測參數。
• 識別資料的趨勢和相關性，以完善詐欺監控規則和參數。
• 使用統計方法和視覺化分析複雜的資料集，以發現新的詐欺風險。
• 深入了解現有的詐欺監控系統和資料結構。
• 研究整理內部和外部資料進行綜合分析。
• 了解並開發資料視覺化腳本和模組。
• 隨時了解新的詐欺趨勢和數據分析技術。
• 與團隊合作，將詐欺預防目標轉化為數據驅動的規則和模型，並基於科學方法開發解決方案。
• 指導初級員工的日常任務和專業發展。

要求：

1. 教育背景：精算科學、電腦、數學、物理、工程或應用數學學位。
2. 技術能力：
   • 精通 SQL、MS Excel 和 SAS。
   • 擁有 R、NumPy、MatLab 等資料科學工具和 Hadoop 等資料框架的經驗。
3. 建模：建構數學模型的經驗。
4. 機器學習：對 k-NN、樸素貝葉斯和決策森林等技術和演算法有深入的了解。
5. 統計：分佈、統計檢定和迴歸方法的應用技能。
6. 行業知識：了解金融業的詐欺偵測和預防。
7. 詐欺分析：對詐欺分析概念的深入掌握。

個人屬性：

1. 資料隱私和合規性：嚴格遵守資料隱私和合規性協議。
2. 分析能力：強大的邏輯和批判性思維，對資料處理一絲不苟。
3. 解決問題：解決複雜問題和創造性思考的能力。
4. 溝通：清晰表達結果和見解的出色技能。
5. 適應性：願意根據需求學習和適應。
6. 傾聽技巧：善於傾聽和理解他人。

• 一流的員工福利。

公司：東南亞最大、最有信譽的銀行之一，提供全面的金融服務，並以其對永續發展和社區發展的承諾而聞名。

職責：

• 支援編制和驗證全球銀行每月可持續金融成果的端到端流程，與利害關係人保持良好的工作關係。
• 協助向內部利害關係人提供有關 ESG 趨勢的最新資訊以及各工作小組的一般 ESG 更新資訊。
• 協助提升 GGB 的思想領導力，成為東南亞地區的永續發展領導者。此任務包括為關鍵團隊成員的演講活動準備研究/筆記。
• 協助研究並提交有關客戶脫碳和轉型融資的想法供英國政府考慮。
• 協助準備與客戶就如何實現企業脫碳策略進行接觸。

要求：

• 結果驅動且快速學習者。
• 良好的口頭和書面溝通技巧。
• 高水準的人際溝通能力，能夠團隊合作以及獨立工作。
• 優秀的組織能力、分析能力、自信，能夠準時完成工作。
• 熟練使用 Microsoft Word、Excel 和 PowerPoint。

一流的員工福利。