{"id":3864207,"url":"https://alion.io/job/sciente-international-data-analyst-jd10924","title":"Data Analyst (JD#10924)","company":{"id":3802166,"name":"Sciente International","domain":"sciente.com","url":"https://alion.io/company/sciente-international","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":4000,"max":5500,"currency":"SGD","period":"month","gross":true,"usd_annual":51672},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"QlikSense","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-06T00:00:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nWe 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.\nMandatory Skill-set\nBachelor’s/Master’s in Data Science, Statistics, Computer Science, Mathematics, Economics, or related fields;\nMust have 3+ years in Data Analytics, including 1+ years in Banking/Financial Services;\nMust have hands-on experience with SQL, Qlik Sense and Big Data tools (Hadoop, Spark, Hive/Impala);\nStrong expertise in Hive, Impala, Python ( Pandas, NumPy, Scikit-learn ), R, SQL, and PySpark;\nExperience building ETL pipelines and end-to-end analytical workflows;\nUnderstanding of machine learning;\nExcellent communication, consulting, slide creation, and stakeholder storytelling skills.\nDesired Skill-set\nCertifications in Data Science, Cloud Technologies, or AML/Compliance;\nExperience in customer segmentation, anomaly detection, and analytics for financial crime;\nUnderstanding of model risk and regulatory expectations for model governance.\nResponsibilities\nLead end-to-end analytics on Hadoop Big Data (Spark/Hive): data ingestion, EDA, feature engineering, model development, validation, deployment, and monitoring;\nDevelop models for AML, fraud analytics, anomaly detection, customer segmentation, and risk scoring using supervised and unsupervised ML;\nCreate analytical workflows, automations, and pipelines;\nPrepare high-quality documentation: Functional Specification Documents (FSD), Model Design Documents (MDD), Business Impact Analysis (BIA), and testing packs;\nBuild dashboards and reports using Qliksense and communicate insights clearly;\nLead stakeholder meetings, facilitate workshops, and deliver executive-ready presentations with strong narrative clarity;\nTranslate business requirements into actionable analytical solutions and recommend data-driven strategies;\nEnsure compliance with model governance, data quality, and security standards;\nMentor junior analysts and data scientists, fostering best practices in analytics and model development.\nShould you be interested in this career opportunity, please send in your updated resume to  at the earliest.\nWhen you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).\nConfidentiality is assured, and only shortlisted candidates will be notified for interviews.\nEA License No. 07C563\nSkills\nCustomer Segmentation, Data Ingestion, Business Intelligence and Data Analytics, optimized SQL queries, Data Analysis, Pipelines, Functional Specifications, MySQL, risk tracking, SQL Query, Business Requirement Analysis, SQL, QlikView Development, Python, Feature Engineering, Fraud Analytics, Anomaly Detection, Business Impact Analysis, Presentation Skills, 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