{"id":3107496,"url":"https://alion.io/job/creditaccess-grameen-senior-data-modeler","title":"Senior Data Modeler","company":{"id":5201,"name":"CreditAccess Grameen","domain":"creditaccessgrameen.in","url":"https://alion.io/company/creditaccess-grameen","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Aerospace","role_family":"Aerospace","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":298},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false},{"name":"Dimensional Modeling","optional":true}],"status":"live","first_seen_at":"2026-10-22T19:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-22T19:35:00Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"We are augmenting our Data Intelligence team with a Senior Data Modeller who can build statistical and machine learning models that directly support lending decisions: propensity, risk, cross-sell, and application scoring, depending on the candidate's strongest background. This role owns the model build end-to-end: from feature creation through to a validated, deployable model, working closely with data analysts and Risk, Credit, or Marketing stakeholders on model use and adoption.\n\nResponsibilities: \nDesign and build predictive models such as propensity / cross-sell models, application scorecards, or risk/delinquency models depending on domain fit.\nEngineer features from transactional, bureau, collections, or campaign data to feed model development.\nApply and compare modelling techniques (e. g., logistic regression, XGBoost / gradient boosting, decision trees, and similar classification techniques) to select the best-fit approach.\nValidate model performance metrics, stability checks, and back-testing and document model logic and assumptions for governance and audit.\nPartner with data analysts and Risk, Credit, or Marketing stakeholders (as aligned) to translate business objectives into model design choices.\nSupport model deployment, scoring pipeline handoff, and periodic model monitoring/recalibration.\nWrite and optimise SQL for feature extraction and model dataset preparation.\n\nRequirements: \n5-7 years of experience building statistical / machine learning models in a Bank or NBFC, with lending experience mandatory (microfinance exposure not required).\nHands-on experience building propensity, cross-sell, risk, or application scoring models using techniques such as logistic regression, XGBoost, or other tree-based / classification methods.\nStrong Python (or R) skills for model development, plus strong hands-on SQL for feature and dataset preparation.\nExperience modelling in at least one of: risk/credit, or marketing/cross-sell.\nAbility to explain model logic, drivers, and trade-offs clearly to business and risk stakeholders.\n\nGood to Have: \nExperience with model validation, monitoring, or governance frameworks.\nExposure to credit bureau data, collections data, or campaign/CRM data.\nFamiliarity with loan lifecycle metrics (delinquency, vintage, roll-rate) or marketing metrics (funnel, attribution, CLV).\nExperience with dimensional/semantic data modelling (star schema or equivalent) as a supporting skill.\nBachelor's or Master's degree in a quantitative discipline Statistics, Economics, Engineering, Computer Science, or related field.\nSkills\nmodeler, modeling, modeller, modelling, python, r, sql","description_format":"text","description_chars":2639,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Microfinance"],"lifecycle":[{"event":"open","at":"2026-10-22T19:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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