Responsibilities<\/strong><\/p>\n

\n
• Data Collection and Cleaning: Collect, extract, and clean relevant data from various internal and external sources, ensuring data quality and integrity.<\/li>\n<\/ul>\n
  \n
  • Data Analysis and Modeling: Apply statistical and machine learning techniques to analyze data, build predictive models, and uncover meaningful insights that drive decision-making in areas such as risk management, customer behavior analysis, and fraud detection.<\/li>\n<\/ul>\n
    \n
    • Development and Deployment of Data Solutions: Design, develop, and deploy end-to-end data solutions that involve data ingestion, transformation, and visualization. This may include building data pipelines, implementing APIs, and creating interactive dashboards for stakeholders.<\/li>\n<\/ul>\n
      \n
      • Model Development and Validation: Develop and validate predictive models for credit scoring, risk assessment, customer segmentation, and other banking-related applications. Ensure models comply with regulatory requirements and best practices.<\/li>\n<\/ul>\n
        \n
        • Collaborative Problem Solving: Work closely with cross-functional teams, such as business stakeholders, IT professionals, and compliance officers, to understand their requirements, address their data-related challenges, and provide data-driven solutions.<\/li>\n<\/ul>\n
          \n
          • Automation and Efficiency: Identify opportunities for process automation and optimization within the bank's operations, leveraging data-driven techniques to streamline workflows, improve efficiency, and reduce operational costs.<\/li>\n<\/ul>\n
            \n
            • Continuous Learning and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and financial technologies. Identify and explore innovative solutions that can enhance the bank's analytical capabilities and competitive edge.<\/li>\n<\/ul>\n
              \n
              • Communication and Visualization: Effectively communicate complex data insights to non-technical stakeholders through visualizations, reports, and presentations. Translate technical findings into actionable recommendations for business teams.<\/li>\n<\/ul>\n

                <\/p>\n

                Qualifications<\/strong><\/p>\n

                \n
                • 3-5 years of experience <\/li>\n
                • A BCS degree in computer science, data science, Engineering, Statistics, or Econometrics.<\/li>\n
                • Experience in Programming and software development (preferably in Python).<\/li>\n
                • A good understanding of Data analysis and modeling<\/li>\n
                • Familiarity with data technologies<\/li>\n
                • Solid understanding of Machine Learning models and concepts.<\/li>\n
                • A knowledge in MLOps is a plus<\/li>\n<\/ul>\n

                  \u0627\u0636\u063a\u0637 \u0647\u0646\u0627 \u0644\u0644\u062a\u0642\u062f\u0645 \u0644\u0644\u0648\u0638\u064a\u0641\u0629 \u0645\u0646 \u0627\u0644\u0645\u0648\u0642\u0639 \u0627\u0644\u0623\u0635\u0644\u064a<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

                  Responsibilities
                  \nData Collection and Cleaning: Collect, extract, and clean relevant data from various internal and external sources, ensuring data quality and integrity.Data Analysis and Modeling: Apply statistical and machine learning techniques to analyze data, build predictive models, and uncover meaningful insights that drive decision-making in areas such as risk management, customer behavior analysis, and fraud detection.Development and Deployment of Data Solutions: Design, develop, and deploy end-to-end data solutions that involve data ingestion, transformation, and visualization. This may include building data pipelines, implementing APIs, and creating interactive dashboards for stakeholders.Model Development and Validation: Develop and validate predictive models for credit scoring, risk assessment, customer segmentation, and other banking-related applications. Ensure models comply with regulatory requirements and best practices.Collaborative Problem Solving: Work closely with c..<\/p>\n","protected":false},"author":1,"featured_media":144,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_ti_tpc_template_sync":false,"_ti_tpc_template_id":"","spay_email":"","footnotes":""},"categories":[38,3],"tags":[],"class_list":["post-450732","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-38","category-3"],"jetpack_featured_media_url":"https:\/\/wathefty.com\/jobs\/wp-content\/uploads\/2021\/12\/\u0648\u0638\u0627\u0626\u0641-\u0627\u0644\u0623\u0631\u062f\u0646.png","_links":{"self":[{"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/posts\/450732","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/comments?post=450732"}],"version-history":[{"count":0,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/posts\/450732\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/media\/144"}],"wp:attachment":[{"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/media?parent=450732"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/categories?post=450732"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/tags?post=450732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}