AI-Native Finance Analyst

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    "location": {
      "city": "Kathmandu",
      "state": "Bagmati",
      "postalCode": "44600",
      "addressCountry": "Nepal"
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    "datePosted": "2026-06-10",
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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Location: </span>Trade Tower, Thapathali, Kathmandu, Nepal</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Type: </span>Full-time (On-site, evening/night shift aligned to US Eastern Time)</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Compensation: </span>NPR 1,50,000 – 2,00,000 per month<br><br></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">THE SHORT VERSION</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Work for a California-based company. Get trained — properly, on AI workflows, with mentorship — to run AI-automated finance operations that most finance professionals are still only reading about. No prior AI experience required. Real AI experience guaranteed. All you need is enthusiasm and a problem-solving mindset.</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br><span style=\"font-weight: bold\">ABOUT COVU</span></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">COVU is building the AI-native operating stack for insurance distribution — combining software, services, markets, and capital. We partner with, operate, and acquire independent insurance agencies to turn fragmented service businesses into a scalable platform with data, automation, and product at the core.</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">COVU is backed by over $32 million in funding from Silicon Valley investors — a well-capitalized, growing US company. Our Kathmandu office is an early and expanding part of that growth: join now and you’re building the team, not joining the back of one.</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br><span style=\"font-weight: bold\">WHY THIS ROLE IS DIFFERENT</span></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Most finance jobs teach you yesterday’s workflow: manual entries, manual reconciliations, manual reports. This role is the opposite. Here, AI agents draft the journal entries, prepare the reconciliations, and assemble the reports — and YOU are the human-in-the-loop the machine answers to. You review, approve, correct, and improve AI-prepared work before it touches the books of a multi-entity US operation. Every correction you make becomes training signal. Over time you automate parts of your own job — and graduate to supervising more workflows. This is the career path forward-looking finance professionals are competing for. We train you for it.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">WHAT YOU’LL DO</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Review AI-prepared journal entries, payables packets, receivables follow-ups, and reconciliation work in an approval queue — approve, correct, or escalate</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Work exception queues in our ticketing and messaging tools: investigate the unusual, resolve it, document the pattern</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Quality-check automation output against source data (book vs bank statements) — your sign-off is the control</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Write playbook specifications: the documents that define how each workflow runs and where humans step in</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Use AI tools (LLM-based agents, prompts, structured workflows) hands-on</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">THE TRAINING — STRUCTURED, NOT “FIGURE IT OUT”</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Weeks 1–2: </span>US finance operations bootcamp — multi-entity accounting, month-end close, payables/receivables, audit-ready documentation</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Weeks 3–12: </span>AI workflow training — how to operate, test, and correct LLM-based agents and workflows; prompt and playbook writing; human-in-the-loop discipline</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Ongoing: </span>direct, hands-on mentorship from the person who built the automation system — not a training video. As your skills grow, your responsibilities grow with them: there is no fixed ceiling on this role</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">WHO YOU ARE</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">2–4 years in finance operations, accounting, data operations, or analytical back-office / BPO or QA work</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Excellent written and spoken English — clear written updates, clean tickets, precise documentation</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Detail-obsessed: you catch the one-rupee/dollar mismatch and want to know why it happened</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Fast with spreadsheets and new AI tools; excited by AI, not threatened by it</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Works independently without real-time oversight — comfortable owning a queue while US colleagues are offline</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Comfortable with<span style=\"font-weight: bold\"> a fixed evening/night schedule aligned to US Eastern Time (ET)</span></span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Bonus: </span>experience with any accounting or bookkeeping system, SQL basics, data-annotation/QA experience, BBA/BBS/ACCA in progress</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">SHIFT LOGISTICS &amp; BENEFITS</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\"><span>Working Hours:</span></span> 9:00 AM – 6:00 PM US Eastern Time (ET)<span>.</span></span>\n<ul>\n<li><span style=\"font-size: 12pt\"><em><span>In Kathmandu, that translates to:</span></em> </span>\n<ul>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\"><span>6:45 PM – 3:45 AM NPT</span></span> during US Daylight Saving Time (roughly March–November)<span>.</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\"><span>7:45 PM – 4:45 AM NPT</span></span> during US Wintertime.</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\"><span>Shift Nature:</span></span> This is a permanent night-shift role.</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Time Off:</span> Leaves provision<span>.</span></span></li>\n</ul>\n</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">HIRING PROCESS — UNDER 3 WEEKS END TO END</span></p>\n<ol>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Application + short written screen (a realistic exception-handling scenario, ~30 minutes)</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Group assessment — spot the errors in an AI-prepared finance packet</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Working session with the hiring manager and Kathmandu team</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Offer</span></li>\n</ol>",
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