Data Scientist, Credit Risk Analytics
- Gaji tidak dicantumkan
- Diposting 2 bulan yang lalu · lewat Lever
Rekrut di wilayah tertentu saja
Bangun model prediktif untuk mengurangi risiko kredit
Anda akan menjadi kontributor utama di tim kredit risiko dengan keahlian machine learning. Anda akan membangun dan mengimplementasikan model prediktif yang mempengaruhi nilai bisnis. Anda juga akan membantu membentuk strategi kredit risiko dan keputusan bisnis.
Kenapa Menarik?
Anda akan memiliki dampak langsung pada nilai bisnis melalui model prediktif yang Anda bangun.
Tanggung Jawab Utama
- Bangun dan implementasikan model prediktif untuk mengurangi risiko kredit
- Berkontribusi pada strategi kredit risiko dan keputusan bisnis
- Menggunakan keahlian machine learning untuk meningkatkan nilai bisnis
- Menjadi bagian dari tim yang fokus pada analitik kredit risiko
Persyaratan
- Pemahaman mendalam tentang machine learning
- Pengalaman dalam membangun model prediktif
- Kemampuan untuk mempengaruhi keputusan bisnis melalui analitik data
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Fleksibel — atur jam kerjamu sendiri
Lihat Deskripsi Asli dari Lever PostingsTampilkan selengkapnya
Deskripsi asli dari Lever Postings
Your role in our mission Prosper is seeking a Data Scientist for the Data Science team under our Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business. How you’ll make an impact Build industry-leading machine learning models for managing credit and fraud risks Leverage complex data sources (e.g., credit bureau reports, customer-supplied information) at scale to develop credit and fraud strategies to improve the credit performance and optimize risk decisions. Collaborate with engineers to deploy your models into a production environment Propose and execute solutions to various problems within business constraints Use responsible AI technique following regulatory requirements and lending best practices Help the team with developing tools and workflow solutions to increase data science productivity Actively monitor the credit risk models in production Extract the most value out of data to significantly impact our key business metrics Assess the potential usefulness and validity of machine learning algorithms and features through various data sources Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development Skills that will help you thrive 3+ years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL Solid understanding of coding best practices and model documentation Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management Strong interpersonal skills – collaborate with people across functions and develop strong relationships Ability to work unsupervised in fast-paced environment and prioritize among parallel projects Ability to think within regulatory guidelines with a mindset toward reproducible research Self-motivated, results-oriented, enthusiastic, and a creative thinker Resources to help you prosper A connected experience: We prioritize high-touch collaboration and flexibility. Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote team member, we provide the digital-first tools and intentional culture to keep you synced and supported Invested in your future: A competitive salary and a 401(k) with a 5% company match to help you build long-term financial security Holistic well-being: We provide the resources you need to thrive, from flexible time off and paid parental leave to an annual wellness allowance and comprehensive health coverage Professional & personal growth: Take advantage of a suite of premium perks, including Udemy access, childcare assistance, pet insurance, and a bevy of additional savings through Beneplace Interview Process Recruiter Call: A brief screening to discuss your experience and initial questions Department Interview: Deeper dive into technical skills and project alignment with the Hiring Manager or team member Technical Interview: Deeper dive into coding skills Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercise #LI-RC1 #LI-Remote About Us Prosper introduced U.S. consumers to an innovative approach to personal finance as the first peer-to-peer lending platform in the country. Since 2005, Prosper has helped over 2 million customers achieve financial well-being through a comprehensive suite of digital personal finance products. Prosper’s flagship personal loan* marketplace continues to offer unique value for both borrowers and investors, while the Prosper® Card¹ provides essential access to credit and flexibility for those managing their financial journey. Guided by its mission to advance financial well-being, Prosper is dedicated to helping people thrive by meeting people where they are with simple, trusted, and affordable financial solutions. Learn more at www.prosper.com. We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all! Our Values Diversity expands opportunities Collaboration creates better solutions Curiosity fuels our innovation Integrity defines all our relationships Excellence leads to longevity Simplicity guides our user experience Accountability at all levels drives results www.prosper.com Our Story & Team // Our Blog Applicants have rights under Federal Employment Laws. Family & Medical Leave Act (FMLA) Equal Employment Opportunity (EEO) Employee Polygraph Protection Act (EPPA) California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA. Illinois applicants: please click here to view our Artificial Intelligence Notice for Applicants. At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being. Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship. *All personal loans are made by WebBank. ¹The Prosper® Card is an unsecured credit card issued by Coastal Community Bank, Member FDIC, pursuant to license by Mastercard® International.
Kurang cocok? Lowongan serupa yang sedang buka
Lihat 5 lowongan serupa →Hanya untuk pelamar di luar Indonesia
Jelajahi lebih lanjut
Data & laporan pasar
Riset gaji & permintaan skill dari data lowongan kami sendiri.
- Skill yang Dicari Perusahaan Remote di Era AISkill paling sering disebut di lowongan aktif per jenis, skill AI, dan yang tumbuh tercepat. Data mingguan.
- Lowongan IT Indonesia vs Remote Global (2026)Analisis data primer 2.049 lowongan: metodologi, klasifikasi, dataset bisa diunduh.
- Permintaan Skill AI: Indonesia vs Global (2026)10.000+ lowongan, classifier taxonomy-first, Wilson CI, pra-registrasi sebelum analisis.
- Remote ≠ Remote: Skill yang Membuka Kerja Global untuk Indonesia (2026)12.891 lowongan remote: skill coding bergaji tertinggi justru paling terkunci untuk pelamar Indonesia. Dataset agregat CC BY 4.0.
- Lapisan Kepatuhan dalam AI Hiring Stack (2026)6.349 lowongan remote: 77,2% tidak menyebut siapa yang boleh melamar. Metodologi dan dataset agregat CC BY 4.0.
- AI di Iklan Lowongan: Indonesia vs Global (2026)Iklan engineering global yang menyebut AI naik dari 3,4% ke 23% sejak ChatGPT; iklan Indonesia dari 2,2% ke 2,8%. Skenario 2027 dan dataset CC BY 4.0.
- Pandora's Box Ep. 1: AI dan Iklan Lowongan Asia Tenggara (2026)118.545 iklan lowongan arsip 2019–2026: iklan web dan software developer menyusut di semua papan, aplikasi ponsel jadi tiket masuk, dan Job X-ray untuk 17 pekerjaan. Dataset CC BY 4.0.
- Cron vs LLM vs LangGraph vs Agen untuk Posting Sosial (2026)Studi pra-registrasi empat cara mengubah artikel blog menjadi posting sosial, di dua model. Pemeriksaan otomatis memilih template cron; model lebih menentukan daripada framework.
- Laporan Hiring Indonesia: Tech vs Non-TechPermintaan lowongan per bidang dari hitungan agregat — bukan listing per-listing.
- Benchmark Gaji IndonesiaKisaran gaji agregat lintas peran, dengan metodologi dan dataset terbuka.
- Indeks Gaji & Permintaan Kerja Remote untuk IndonesiaBerapa banyak lowongan remote global yang terbuka untuk Indonesia, dan gajinya (USD) per bidang.
- Laporan Kuartalan Pasar Kerja IndonesiaPHK, pendanaan, gaji & skill per kuartal — agregat terbuka.
- Laporan Pasar Remote per PeranLaporan otomatis per kelompok peran — skill, senioritas, perusahaan, gaji.
- Benchmark Gaji Remote GlobalGaji tahunan per bidang & mata uang, plus porsi lowongan terbuka untuk seluruh dunia.
Perusahaan ini tampaknya hanya merekrut di wilayah tertentu.