[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-portfolio-analytics-my":3,"job-search-\u002Fen-my\u002Fjobs-by-expertise\u002Fportfolio-analytics":4,"expertise-filters-\u002Fen-my\u002Fjobs-by-expertise\u002Fportfolio-analytics":120,"featured-jobs-\u002Fen-my\u002Fjobs-by-expertise\u002Fportfolio-analytics":218},{},{"total":5,"jobs":6},3,[7,48,97],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":29,"processed_job_expertise_skills":30,"processed_job_expertise_skills_labels":32,"max_cpc":47,"actual_cpc":47},88900,"head-of-investment-strategist-pfs-united-overseas-bank-malaysia-bhd","Head of Investment Strategist (PFS)",null,false,{"name":14,"slug":15,"logo_url":11},"United Overseas Bank (Malaysia) Bhd","united-overseas-bank-malaysia-bhd",[17],"Kuala Lumpur",[19],"MY","onsite",150000,250000,"MYR","estimated",[26],"FULL_TIME","permanent",{},[],{"macroeconomics":31,"revenue growth":31,"client advisory":31,"legacy planning":31,"risk management":31,"asset allocation":31,"wealth protection":31,"portfolio analytics":31,"investment knowledge":31,"portfolio management":31,"regulatory compliance":31,"market trends analysis":31,"data-driven decision making":31,"financial roadmap development":31},4,[33,34,35,36,37,38,39,40,41,42,43,44,45,46],"Investment Knowledge","Portfolio Management","Wealth Protection","Legacy Planning","Macroeconomics","Market Trends Analysis","Financial Roadmap Development","Data-Driven Decision Making","Asset Allocation","Portfolio Analytics","Risk Management","Regulatory Compliance","Revenue Growth","Client Advisory",1,{"id":49,"slug":50,"title":51,"raw_title":11,"is_featured":12,"company":52,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":55,"processed_country_iso_code_gmaps":57,"processed_home_office":20,"processed_salary_min":58,"processed_salary_max":59,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":60,"processed_employment_types":27,"processed_it_skills":61,"processed_it_skills_labels":62,"processed_job_expertise_skills":72,"processed_job_expertise_skills_labels":73,"max_cpc":47,"actual_cpc":47},72875,"lead-data-scientist-ecl-modelling-gx-bank-berhad","Lead Data Scientist (ECL Modelling)",{"name":53,"slug":54,"logo_url":11},"GX Bank Berhad","gx-bank-berhad",[56],"Petaling Jaya",[19],180000,300000,[26],{"aws":5,"git":5,"sql":31,"ci\u002Fcd":5,"numpy":31,"pandas":31,"python":31,"statsmodels":31,"scikit-learn":31},[63,64,65,66,67,68,69,70,71],"Python","SQL","pandas","NumPy","scikit-learn","statsmodels","Git","CI\u002FCD","AWS",{"irb models":5,"stress testing":31,"machine learning":5,"model deployment":5,"model governance":31,"model validation":31,"recovery analysis":31,"survival analysis":31,"capital management":5,"logistic regression":31,"portfolio analytics":31,"transition matrices":31,"ifrs 9 ecl modelling":31,"mfrs 9 ecl modelling":31,"model implementation":31,"time-series analysis":31,"credit risk modelling":31,"regulatory compliance":31,"statistical modelling":31,"credit risk scorecards":31,"macroeconomic modelling":31,"basel credit risk models":5,"loss given default (lgd) modelling":31,"exposure at default (ead) modelling":31,"probability of default (pd) modelling":31},[74,75,76,77,78,79,80,42,81,82,83,44,84,85,86,87,88,89,90,91,92,93,94,95,96],"Credit Risk Modelling","MFRS 9 ECL Modelling","IFRS 9 ECL Modelling","Probability of Default (PD) Modelling","Loss Given Default (LGD) Modelling","Exposure at Default (EAD) Modelling","Credit Risk Scorecards","Model Implementation","Model Validation","Model Governance","Statistical Modelling","Machine Learning","Logistic Regression","Survival Analysis","Transition Matrices","Time-Series Analysis","Macroeconomic Modelling","Recovery Analysis","Stress Testing","Capital Management","Basel Credit Risk Models","IRB Models","Model Deployment",{"id":98,"slug":99,"title":100,"raw_title":11,"is_featured":12,"company":101,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":104,"processed_country_iso_code_gmaps":105,"processed_home_office":20,"processed_salary_min":106,"processed_salary_max":107,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":108,"processed_employment_types":27,"processed_it_skills":109,"processed_it_skills_labels":110,"processed_job_expertise_skills":112,"processed_job_expertise_skills_labels":113,"max_cpc":47,"actual_cpc":119},56677,"assistant-manager-payments-partnerships-fintech-amp-ecosystems-business-intelligence-amp-reporting-analyst-hong-leong-bank-berhad","Assistant Manager - Payments, Partnerships, Fintech & Ecosystems (Business Intelligence & Reporting Analyst)",{"name":102,"slug":103,"logo_url":11},"Hong Leong Bank Berhad","hong-leong-bank-berhad",[17],[19],50000,70000,[26],{"sql":31,"python":5,"power bi":31},[64,111,63],"Power BI",{"business modelling":31,"process automation":5,"data reconciliation":31,"portfolio analytics":31,"regulatory reporting":31,"user acceptance testing":5},[114,115,116,42,117,118],"Regulatory Reporting","Data Reconciliation","Business Modelling","User Acceptance Testing","Process Automation",0.4,{"industry":121,"employment_type":132,"expertise_skills":135,"it_skills":189,"salary_currency":214,"processed_working_hours":216},[122,126,129],{"key":123,"label":124,"count":125},"banking","Banking",2,{"key":127,"label":128,"count":47},"financial services","Financial Services",{"key":130,"label":131,"count":47},"digital banking","Digital Banking",[133],{"key":27,"label":134,"count":5},"PERMANENT",[136,138,140,142,144,146,148,150,152,154,157,159,162,164,167,169,171,174,176,178,180,182,185,187],{"key":137,"label":42,"slug":137,"count":5},"portfolio-analytics",{"key":139,"label":44,"slug":139,"count":125},"regulatory-compliance",{"key":141,"label":116,"slug":141,"count":47},"business-modelling",{"key":143,"label":93,"slug":143,"count":47},"capital-management",{"key":145,"label":46,"slug":145,"count":47},"client-advisory",{"key":147,"label":74,"slug":147,"count":47},"credit-risk-modelling",{"key":149,"label":80,"slug":149,"count":47},"credit-risk-scorecards",{"key":151,"label":115,"slug":151,"count":47},"data-reconciliation",{"key":153,"label":40,"slug":153,"count":47},"data-driven-decision-making",{"key":155,"label":156,"slug":155,"count":47},"exposure-at-default-ead-modelling","Exposure At Default (Ead) Modelling",{"key":158,"label":39,"slug":158,"count":47},"financial-roadmap-development",{"key":160,"label":161,"slug":160,"count":47},"ifrs-9-ecl-modelling","Ifrs 9 Ecl Modelling",{"key":163,"label":33,"slug":163,"count":47},"investment-knowledge",{"key":165,"label":166,"slug":165,"count":47},"irb-models","Irb Models",{"key":168,"label":36,"slug":168,"count":47},"legacy-planning",{"key":170,"label":86,"slug":170,"count":47},"logistic-regression",{"key":172,"label":173,"slug":172,"count":47},"loss-given-default-lgd-modelling","Loss Given Default (Lgd) Modelling",{"key":175,"label":85,"slug":175,"count":47},"machine-learning",{"key":177,"label":90,"slug":177,"count":47},"macroeconomic-modelling",{"key":179,"label":37,"slug":179,"count":47},"macroeconomics",{"key":181,"label":38,"slug":181,"count":47},"market-trends-analysis",{"key":183,"label":184,"slug":183,"count":47},"mfrs-9-ecl-modelling","Mfrs 9 Ecl Modelling",{"key":186,"label":96,"slug":186,"count":47},"model-deployment",{"key":188,"label":83,"slug":188,"count":47},"model-governance",[190,192,194,196,199,201,204,206,209,211],{"key":191,"label":64,"slug":191,"count":125},"sql",{"key":193,"label":63,"slug":193,"count":125},"python",{"key":195,"label":69,"slug":195,"count":47},"git",{"key":197,"label":198,"slug":197,"count":47},"numpy","Numpy",{"key":65,"label":200,"slug":65,"count":47},"Pandas",{"key":202,"label":203,"slug":202,"count":47},"ms-powerbi","MS PowerBI",{"key":67,"label":205,"slug":67,"count":47},"Scikit-Learn",{"key":207,"label":208,"slug":207,"count":47},"aws","Aws",{"key":68,"label":210,"slug":68,"count":47},"Statsmodels",{"key":212,"label":213,"slug":212,"count":47},"cicd","Ci\u002FCd",[215],{"key":23,"label":23,"count":5},[217],{"key":26,"label":26,"count":5},{"total":219,"jobs":220},0,[]]