{"id":2534147,"url":"https://alion.io/job/job-mail-quantitative-analyst-credit-risk-pricing-analytics","title":"Quantitative Analyst: Credit Risk & Pricing Analytics","company":{"id":701519,"name":"Job Mail","domain":"jobmail.co.za","url":"https://alion.io/company/job-mail","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":"jobmail.co.za","ats_vendor":"Schema","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-14T13:41:29Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-11-02T20:16:10Z","board_verified":false,"closed_at":"2026-11-02T20:16:10Z","days_open":19,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":19},"description":"Our client, a leading financial services provider, is looking for a Quantitative Analyst to turn data into decisions that shape their credit portfolio.\nIf you’re a credit risk professional who loves modelling, machine learning and seeing your insights influence real pricing and strategy, this permanent, hybrid role in Sandton is worth a conversation.\nThe opportunity\nYou’ll use data science and machine learning to improve credit portfolio performance, pricing decisions and risk-adjusted returns. You’ll work closely with stakeholders to feed analytics into strategic planning and risk appetite frameworks, and contribute to model development across the credit lifecycle.\nKey responsibilities\nMaintain advanced analytics frameworks for credit portfolio management\n\nEnhance traditional modelling approaches and apply machine learning to deliver predictive and prescriptive insights\n\nResearch and evaluate innovative analytical techniques to improve model development, performance and efficiency\n\nContribute to origination modelling strategies aligned to portfolio objectives and risk appetite\n\nConduct deep dive analysis into credit portfolios to identify performance drivers, emerging risks and rebalancing opportunities\n\nBuild interactive dashboards and visualisation tools for real-time portfolio monitoring\n\nRun pricing analytics to assess risk-based pricing strategies and risk-adjusted returns\n\nCompare model-predicted outcomes against actual portfolio performance and realised profitability\n\nContribute to client-level pricing frameworks that balance customer value, risk and profitability\n\nSupport cross-sell and customer behaviour analytics to identify growth opportunities\n\nShare knowledge and best practice within a collaborative, high-performance team\n\nMinimum requirements\nDegree in Mathematics, Statistics, Financial Engineering, Economics, Actuarial Science or a related quantitative field\n\n2+ years’ experience in credit risk analytics, portfolio management or a related field\n\nProven hands-on experience with SAS, Python, R and SQL\n\nFamiliarity with IFRS 9, Basel frameworks and advanced credit modelling techniques\n\nStrong analytical and problem-solving skills\n\nStrong communication and stakeholder engagement skills, with the ability to influence decisions\n\nAdvantageous\nPostgraduate qualification or certification in Data Science or Machine Learning\n\nFRM or CFA\n\nThe person\nAdaptable, results-driven and commercially minded, with a curious, continuous-learning mindset and a commitment to continuous improvement.\nWhy this role?\nHigh-impact work that drives real business outcomes\n\nExposure to a digital transformation agenda\n\nA collaborative, high-performance team that invests in your growth\n\nPermanent position with hybrid flexibility in Sandton","description_format":"text","description_chars":2769,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"South 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