System Data Analytics Specialist (Fraud / Callsign Optimization)
职位标题：系统数据分析专家 （欺诈/呼叫牌优化）地点：远程 （全球）合同持续时间：6个月 （可能延长）客户端：领先的沙特阿拉伯银行类型：合约 /顾问关于角色 我们正在寻找一个具有深入技术知识的系统数据分析学专家，在欺诈分析，数字身份系统和呼叫牌平台优化。理想候选人将拥有在银行或金融服务环境中配置，调整和优化呼叫牌或类似欺诈检测和验证系统的实践经验。你将在提高欺诈检测规则和行为分析的准确性，性能和有效性方面发挥关键作用。与欺诈策略，风险和技术团队密切合作，你将确保 Callsign 系统提供最大保护，最小的客户摩擦。关键责任 ·系统优化 &调整 ·对 Callsign 欺诈检查和身份验证引擎进行校正并精细调以获得最佳效果。·分析数据模型，风险信号和规则输出来识别错误积极/负面以及优化模型门。·努力不断改善 Callsign 工作流程，行程和干预逻辑。· 数据分析 & 洞察力 · 对欺诈事件数据，行为生物识别和系统日志进行深入分析。· 建立仪表板，性能指标和报告管道来监测 Callsign 的有效性。· 与欺诈分析团队合作检测趋势和新出现威胁。·技术实施。· 配置 Callsign 与核心银行系统，API 或编排层之间的系统集成。·支持部署新的欺诈场景和机器学习模型。·管理测试环境，执行回归测试并验证生产变化。·利益相关者协作。·与欺诈策略，IT 安全和供应商团队联系以推动绩效改善。· 文件配置，模型变更和系统更新。· 在 Callsign 数据结构，风险评分和编排能力方面提供专家指导。需要技能与经验 · 必须：· 与 Callsign 直接工作的经验 （配置，调整或分析）. · 5年以上在银行部门预防欺诈，风险分析或身份验证系统方面的经验。·强大的 SQL,Python 和数据可视化技巧 （例如 Power BI,Tableau）. ·
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Job Title: System Data Analytics Specialist (Fraud / Callsign Optimization)
Location: Remote (Global)
Contract Duration: 6 months (with possible extension)
Client: Leading Saudi Arabian Bank
Type: Contract / Consultant
About the Role
We are seeking a System Data Analytics Specialist with deep technical expertise in fraud analytics, digital identity systems, and Callsign platform optimization. The ideal candidate will have hands-on experience configuring, tuning, and optimizing Callsign or similar fraud detection and authentication systems within a banking or financial services environment.
You will play a key role in enhancing the accuracy, performance, and effectiveness of fraud detection rules and behavioral analytics. Working closely with fraud strategy, risk, and technology teams, you’ll ensure the Callsign system is delivering maximum protection with minimal customer friction.
Key Responsibilities
- System Optimization & Tuning
- Calibrate and fine-tune the Callsign fraud detection and authentication engine for optimal performance.
- Analyze data models, risk signals, and rule outputs to identify false positives/negatives and optimize model thresholds.
- Work on continuous improvement of Callsign workflows, journeys, and intervention logic.
- Data Analysis & Insights
- Conduct deep analytics on fraud event data, behavioral biometrics, and system logs.
- Build dashboards, performance metrics, and reporting pipelines to monitor Callsign efficacy.
- Collaborate with fraud analytics teams to detect trends and emerging threats.
- Technical Implementation
- Configure system integrations between Callsign and core banking systems, APIs, or orchestration layers.
- Support the deployment of new fraud scenarios and machine learning models.
- Manage test environments, perform regression testing, and validate production changes.
- Stakeholder Collaboration
- Liaise with fraud strategy, IT security, and vendor teams to drive performance improvements.
- Document configurations, model changes, and system updates.
- Provide expert guidance on Callsign data structures, risk scoring, and orchestration capabilities.
Required Skills & Experience
- Mandatory:
- Proven experience working directly with Callsign (configuration, tuning, or analytics).
- 5+ years of experience in fraud prevention, risk analytics, or authentication systems in the banking sector.
- Strong SQL, Python, and data visualization skills (e.g., Power BI, Tableau).
- Familiarity with behavioral biometrics, device fingerprinting, and event-based fraud modeling.
- Excellent analytical mindset and ability to interpret complex data flows.
- Strong communication skills in English (Arabic is a plus).
- Preferred:
- Experience with machine learning models used for fraud or risk scoring.
- Exposure to other fraud platforms (e.g., ThreatMetrix, Feedzai, SAS Fraud Management).
- Knowledge of regulatory environments in MENA banking and SAMA compliance standards.
What’s Offered
- Fully remote engagement – work from anywhere.
- 6-month contract, with possibility of renewal.
- Opportunity to work with a top-tier Saudi financial institution on a strategic fraud prevention initiative.
- Competitive daily rate, commensurate with experience.
Originally posted on Himalayas