SMO Associate - Quantitative Analytics & Financial Modelling

Job description

About LFNLFN is a multi-site coal hauling and trucking operator providing end-to-end transportation services for mining clients, from daily dispatch planning and fleet deployment, to on-site execution, safety compliance, and maintenance coordination. Our operations span several active hauling sites in South Kalimantan (Batulicin area), supported by a large-scale fleet of 500+ dump trucks across various variants (SANY Electric, Hino diesel, and SANY diesel) deployed based on the specific conditions of each site. LFN is a highly execution-oriented business where value is created through consistent achievement of production targets, strong delivery discipline, high equipment availability, and safe operations across every shift. Role OverviewThe SMO Associate – Quantitative Analytics & Financial Modelling is a high-impact analytical role placed directly under the SMO (Strategic Management Office). You will be the quantitative engine behind LFN's strategic decision-making — building financial models, generating projections, and delivering data-driven insights across operations, fleet economics, and business performance.This is not a back-office role. You will work directly with senior leadership, translating complex operational data into actionable recommendations, and are expected to present findings clearly and confidently. Regular travel between Jakarta and Batulicin to engage directly with field operations and ground-level data is part of the role. Key Responsibilities :Financial Modelling & ValuationDevelop project- and fleet-level investment models, including NPV, IRR, and payback analyses for fleet procurement and contract decisionsConduct scenario and sensitivity analyses to stress-test assumptions across varying coal price, tonnage, fuel cost, and maintenance conditions P&L Management & ForecastingOwn monthly and annual P&L projection models across hauling contracts, sites, and cost centresTrack actuals vs. budget and provide variance analysis with clear root-cause commentary for leadership reviewBuild revenue and cost driver models linked to tonnage throughput, fuel consumption, maintenance cycles, and crew utilisationDevelop rolling forecast projections accounting for fleet availability rates, seasonal hauling patterns, and contract dynamicsDemand & Operational ForecastingModel coal hauling demand projections tied to client mine plans, ramp-up schedules, and contracted volumesBuild fleet sizing and utilisation models to optimise asset deployment and avoid over- or under-allocation across sitesDevelop fuel demand projections, maintenance cost estimates, and driver headcount planning modelsAnalyse historical dispatch and production data to identify patterns, inefficiencies, and operational optimisation opportunitiesStrategic Analytics & SMO SupportPrepare quantitative materials for Board of Directors reviews and strategic planning sessionsTranslate operational KPIs into executive dashboards and performance scorecards with clear narrativesSupport evaluation of new hauling contracts, fleet procurement decisions, and capex allocation with financial rigourConduct ad-hoc quantitative analysis to support time-sensitive commercial and operational decisionsCollaborate cross-functionally with operations, finance, and commercial teams to gather data and validate model assumptions Qualifications :EducationBachelor's degree in Finance, Economics, Accounting, Engineering, Mathematics, or another quantitative disciplineStrong academic record from a reputable university — minimum GPA of 3.5 preferred Experience :1–2 years of relevant experience preferred; exceptional fresh graduates are strongly encouraged to applyPrior experience at a Big 4 firm (Deloitte, PwC, EY, KPMG) in M&A Advisory, Transaction Services, Valuations, or Financial Modelling is highly valuedInternship or project experience at MBB (McKinsey, BCG, Bain) or other leading management consulting firms is a strong differentiatorBackground in corporate finance, investment banking, private equity, or FP&A is an advantageExposure to extractive industries, logistics, heavy equipment, or operational infrastructure is a plus but not required Technical SkillsAdvanced proficiency in Microsoft Excel — including dynamic arrays, Power Query, and structured financial modelling best practicesAbility to build clean, auditable, and well-structured financial models from scratch without templatesStrong PowerPoint skills to translate quantitative outputs into executive-ready presentationsExperience with Power BI, Tableau, or other data visualisation tools is a plusBasic SQL or Python skills for data extraction and analysis are an advantage but not required Competencies :Sharp analytical thinking with strict attention to model integrity, data quality, and logical structureAbility to synthesise large volumes of operational and financial data into concise executive-level narrativesHigh-ownership mentality — comfortable driving deliverables independently under ambiguous conditions and tight deadlinesStrong communication skills with the ability to present and engage confidently with senior executivesHigh intellectual curiosity and comfort diving quickly into unfamiliar industries and data environments Work ArrangementThis role is based in Jakarta with regular travel to Batulicin, South Kalimantan, where the core of LFN's hauling operations is located. Travel frequency depends on project needs and may involve extended on-site stays. Candidates must be willing and available to rotate between both locations as required. Why Join LFN's SMO Direct exposure to the Board of Directors and senior leadership with meaningful responsibility from day oneBroad analytical mandate spanning finance, operations, strategy, and commercial — no narrow scopeA rare opportunity to build deep operational and financial expertise in Indonesia's coal logistics sectorA fast-paced, high-ownership environment where strong performers gain visibility and advance rapidlyCompetitive compensation package commensurate with background and experience