{"id":2901734,"url":"https://alion.io/job/paytech-nexus-risk-data-scientist","title":"Risk Data Scientist","company":{"id":4433588,"name":"PayTech Nexus","domain":"paytechnexus.com","url":"https://alion.io/company/paytech-nexus","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Jeddah, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"XGBoost","optional":false},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-30T00:00:00Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"JOB TITLE: Risk Data Scientist\n TERM: 6 months \n CLIENT LOCATION: SNB Jeddah head office AlBaghdadiyah AlGharbiyah Jeddah 22233 Saudi Arabia\n RELEVANT EXPERIENCE: 3 years (with valid Saudi Iqama)\n MANDATORY REQUIREMENTS: \nExperience in SAS programming language (SAS 9.4/ any other programming language Python/ R\nPrior model development experience Logistic regression Decision Tree XGBoost Random Forest is a plus\n\n PURPOSE OF JOB\n Risk Data Scientist\n\n TASKS\n Core Responsibilities and Accountabilities\n Nontechnical\n Strong communication skills and ability to present findings to client stakeholders\nExperience in Financial Services Banking & card payments Industry is a plus\nCollaborate with crossfunctional teams to understand business requirements\nDocument all steps in the development process\n Technical\n Experience in SAS programming language (SAS 9.4/ any other programming language Python/ R\nPrior predictive model development experience Logistic regression Decision Tree XGBoost Random Forest is a plus\nExtract data from client source systems data quality checks for model development\nIdentify opportunities to innovatively use data/ extract insights from complex data sets\nIdentify credit policy recommendations analyzing complex data sets\n Cultural Fit\n Owning the outcome (ownership)\nBeing driven/passionate in analytics\nProblem solving mindset challenging the status quo\nSelforganizing independent and takes ownership of each task\nMeticulous to detail\nThrive under pressure\nCollaborate with MC global teams\n KPIs:\n Business outcome crosssell credit policy recommendations credit limit optimization\nModel development model accuracy stability documentation\nModel deployment Coordinate with client teams for fast and smooth model deployment\nProactiveness in responding to business needs\nStakeholder Satisfaction The level of satisfaction of stakeholders with the model reports and insights provided.\nCollaboration Effectiveness The effectiveness of collaboration with crossfunctional teams measured via model accuracy stability and time to deploy. \nData Security Compliance Compliance with data security protocols and regulations.\n Knowledge & Experience:\n 3years in a similar role ideally with financial services\nValid Iqama in Saudi is a must\nGood knowledge of data wrangling SQL SAS Python R\nProficiency in SAS programming language (SAS 9.4/ Python/ R\nPrior model development experience Logistic regression Decision Tree XGBoost Random Forest is a plus\nStrong communication skills and ability to present findings to senior stakeholders (non technical)","description_format":"text","description_chars":2564,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Saudi 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