Data Analyst (JD#10924)

SCIENTE INTERNATIONAL PTE. LTD.; Singapore; Presencial; SGD 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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Descripción de la vacante

Sciente International Pte Ltd is seeking a Data Analyst to drive end-to-end analytics for Anti-Financial Crime projects in a reputed bank. You will design analytic workflows, build ML models, and translate insights into business impact. You will work with Hadoop Big Data, Spark/Hive, Python, R, and SQL.

Role emphasizes storytelling, documentation and stakeholder leadership; you will mentor junior analysts and deliver executive-ready insights.

Formación

• Bachelors/Masters in Data Science, Statistics, CS, Math, Economics, or related field.
• 3+ years in Data Analytics; 1+ year in Banking/FS.
• Hands-on SQL, Qlik Sense, and Big Data tools (Hadoop, Spark, Hive/Impala).
• Strong Python (Pandas, NumPy, Scikit-learn), R, SQL, and PySpark.
• Experience building ETL pipelines and end-to-end analytics workflows.
• Understanding of machine learning.
• Excellent communication, consulting, slide creation and stakeholder storytelling.

Responsabilidades

• Lead end-to-end analytics on Hadoop Big Data (Spark/Hive): data ingestion, EDA, feature engineering, model development, validation, deployment, monitoring.
• Develop models for AML, fraud analytics, anomaly detection, customer segmentation, and risk scoring using supervised and unsupervised ML.
• Create analytical workflows, automations, and pipelines.
• Prepare high-quality documentation: FSD, MDD, BIA, and testing packs.
• Build dashboards and reports using Qlik Sense and communicate insights clearly.
• Lead stakeholder meetings, facilitate workshops, and deliver executive-ready presentations with clear narrative.
• Translate business requirements into actionable analytical solutions and data-driven strategies.
• Ensure governance, data quality, and security compliance; mentor junior analysts and data scientists.

Conocimientos

SQL

Qlik Sense

Hadoop

Spark

Hive/Impala

Python

R

Pandas

ETL

ML

Stakeholder comms

Analytics storytelling

Educación

Bachelor’s or Master’s in Data Science or related field

Herramientas

Hadoop

Spark

Hive/Impala

Qlik Sense

Python

R

Pandas

SQL

Descripción del empleo

Job Summary

We are looking for a Data Analyst to drive end-to-end analytics for Anti-Financial Crime projects in a reputed bank . This role blends strong analytical and data science capabilities with compelling storytelling, documentation excellence, and stakeholder leadership. You will work extensively on Hadoop Big Data, design analytic workflows, build ML models (including unsupervised techniques), and translate insights into meaningful business impact.

Mandatory Skill-set

• Bachelor's/Master's in Data Science, Statistics, Computer Science, Mathematics, Economics, or related fields;
• Must have 3+ years in Data Analytics, including 1+ years in Banking/Financial Services;
• Must have hands-on experience with SQL, Qlik Sense and Big Data tools (Hadoop, Spark, Hive/Impala);
• Strong expertise in Hive, Impala, Python ( Pandas, NumPy, Scikit-learn ), R, SQL, and PySpark;
• Experience building ETL pipelines and end-to-end analytical workflows;
• Understanding of machine learning;
• Excellent communication, consulting, slide creation, and stakeholder storytelling skills.

Desired Skill-set

• Certifications in Data Science, Cloud Technologies, or AML/Compliance;
• Experience in customer segmentation, anomaly detection, and analytics for financial crime;
• Understanding of model risk and regulatory expectations for model governance.

Responsibilities

• Lead end-to-end analytics on Hadoop Big Data (Spark/Hive): data ingestion, EDA, feature engineering, model development, validation, deployment, and monitoring;
• Develop models for AML, fraud analytics, anomaly detection, customer segmentation, and risk scoring using supervised and unsupervised ML;
• Create analytical workflows, automations, and pipelines;
• Prepare high-quality documentation: Functional Specification Documents (FSD), Model Design Documents (MDD), Business Impact Analysis (BIA), and testing packs;
• Build dashboards and reports using Qliksense and communicate insights clearly;
• Lead stakeholder meetings, facilitate workshops, and deliver executive-ready presentations with strong narrative clarity;
• Translate business requirements into actionable analytical solutions and recommend data-driven strategies;
• Ensure compliance with model governance, data quality, and security standards;
• Mentor junior analysts and data scientists, fostering best practices in analytics and model development.

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA License No. 07C563