Senior Credit Manager, US Card
Tingkatkan program manajemen kredit untuk kartu Tilt di AS
Anda akan mengembangkan program manajemen kredit baru untuk kartu Tilt di AS. Anda akan bekerja dengan Data Science dan Product untuk mengidentifikasi peluang, merancang kebijakan, dan menguji program baru. Anda akan memiliki tanggung jawab penuh atas analisis dan pengembangan program ini.
Kenapa Menarik?
Tilt mengembangkan sistem kredit baru yang lebih inklusif dengan menggunakan lebih dari 250 sinyal keuangan real-time.
Tanggung Jawab Utama
- Mengembangkan program manajemen kredit baru seperti kebijakan melebihi batas, peningkatan kredit dinamis, atau peningkatan kredit berbasis i
- Melakukan analisis SQL dan Python untuk mengukur peluang, merancang uji, dan mengevaluasi hasil
- Bekerja sama dengan Data Science untuk mengidentifikasi dan mengembangkan model risiko baru
- Mengembangkan solusi yang dapat diskalakan tanpa harus menunggu arahan
Persyaratan
- Pengalaman dalam analisis kredit dan manajemen program
- Kemampuan dalam SQL dan Python untuk analisis data
- Pengalaman dalam bekerja dengan Data Science dan Product
- Kemampuan untuk bekerja dengan independen dan mengembangkan solusi yang dapat diskalakan
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Fleksibel — atur jam kerjamu sendiri
Lihat Deskripsi Asli dari Ashby Job Boards
Deskripsi asli dari Ashby Job Boards
JOIN THE TILT TEAM At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward. THE OPPORTUNITY: SENIOR CREDIT MANAGER, US CARD Tilt is looking for a Senior Credit Manager to join our Card Customer Management team, focused on Line Management. Our existing line increase programs are healthy, but there's significant untapped opportunity beyond them: recovering spend, unlocking underutilized usage, and building the next generation of line management programs. This role exists to find and build that opportunity. You'll work at the intersection of credit policy, quantitative analysis, and program design, partnering closely with Data Science and Product while independently owning the analytical work behind new program ideas — from identifying the opportunity, to designing and testing a policy, to scaling what works. This is an individual-contributor role with outsized visibility: you won't manage a team, but you will regularly partner with and influence senior leaders and cross-functional stakeholders across the business. This role is a great fit for someone who wants deep ownership of high-impact analytical work and who's energized by taking a loosely-defined problem space and independently driving it to a tested, scalable solution — without waiting to be told what to build. HOW YOU'LL MAKE AN IMPACT - Ideate and build new line management programs: Independently identify, design, and test new programs and policies that complement our existing line management programs — for example, over-limit policies, dynamic or instant line increases, or incentive-based credit line increases. - Own the analytical work end-to-end: Run your own SQL- and/or Python-based analysis to size opportunities, structure tests, and evaluate results, turning insights into a roadmap you build in partnership with Data Science and Product. - Partner closely with Data Science: Identify opportunities where a new or enhanced risk models would outperform the existing approach, then partner with DS to define success criteria and serve as the business owner driving that model forward. - Drive through ambiguity with urgency: Take undefined, loosely-scoped problem spaces and independently turn them into concrete, tested programs — scoping the approach, building the test, and pushing it through to a result using your own judgment, without needing to be directed step by step. - Communicate with precision and influence: Translate complex analysis into clear, decision-ready recommendations for senior stakeholders, and build the credibility to shape decisions without formal authority. WHY YOU'RE A GREAT FIT - Bachelor's degree in a quantitative field (Engineering, Business, Finance, Computer Science, Mathematics, Economics, or similar); advanced degree a plus. - 5-7 years of experience in credit risk, data analytics, or a related quantitative discipline, ideally in consumer lending or fintech. - Strong SQL or Python skills — you're comfortable running your own queries independently, and you're able to pair that effectively with AI tools to execute on analysis - Excellent communication skills — able to go deep in the analytical weeds and also distill findings clearly for an executive audience. - Demonstrated ability to influence outcomes and build trust with senior stakeholders and cross-functional partners without formal reporting authority. - Strong analytical and problem-solving instincts, with comfort operating in ambiguity and a track record of driving projects forward independently. - A creative, action-oriented approach — someone who prototypes, tests, and iterates rather than waiting for a fully-defined problem statement. - Eagerness to learn new tools and methods, and to stay current with trends in credit, lending, and AI. Don’t meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. WHAT YOU'LL GET AT TILT - Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement. - Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. - Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. - Visibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly. - Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.) - Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. THE TILT WAY We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable — brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You’re pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.
Konteks Gaji
Posisi Data & Analytics serupa di LokerDollar dibayar sekitar $190.8k/yr (kisaran $39.5k–404k/yr, dari 121 listing aktif).
Perekrutan di Tilt Finance
Tilt Finance punya 14 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 13 Jun 2026 — di kategori Data & Analytics, Engineering, Design.
Lihat semua lowongan Tilt Finance →Pemberi kerja tidak menyatakan keterbukaan lokasi — cek langsung lowongannya
Pertanyaan yang sering diajukan
- Apakah Senior Credit Manager, US Card di Tilt Finance bisa dikerjakan remote?
- Ya. Senior Credit Manager, US Card di Tilt Finance adalah posisi remote yang terbuka untuk kandidat di seluruh dunia.
- Berapa gaji untuk Senior Credit Manager, US Card di Tilt Finance?
- Rentang gaji yang tercantum untuk posisi ini adalah $170k–200k/yr.
- Jenis pekerjaan apa Senior Credit Manager, US Card di Tilt Finance?
- Posisi ini adalah pekerjaan full time.
- Bagaimana cara melamar?
- Klik tombol "Lamar" pada halaman ini untuk menuju halaman aplikasi resmi Tilt Finance.
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