أقسام الوصول السريع (مربع البحث)

📁 آخر الأخبار

Home Lending Risk Competitive Intelligence Associate

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🏢 الشركة:JP Morgan Chase
📅 تاريخ النشر:قبل 21 دقيقة
💼 نوع الوظيفة:غير محدد
🎓 المؤهلات:غير محدد
💼 الخبرة:None
💰 الراتب:غير محدد
📍 الموقع:الهند
⏰ ساعات العمل:غير محدد
🔢 عدد الشواغر:غير محدد
👥 عدد المتقدمين:غير محدد
🔧 المهارات المطلوبة:None
🎁 المزايا:غير محدد
📩 طريقة التقديم:غير محدد
⏳ آخر موعد للتقديم:غير محدد
🌍 الدولة:None
🏙️ الولاية:None
🏙️ المدينة:الهند
🗂️ فئة الوظيفة:خدمات الدعم التجاري الأخرى, غير محدد
📚 مجال التخصص:None
📞 أرقام الهاتف:None
✉️ البريد الإلكتروني:None


Good understanding of Credit Risk and providing risk point of view

Experience in data analytics with ability to carry our segmentation, data mining and evaluate time-series data

Sound understanding of a data querying language or manipulation tool such as SAS, SQL, or Python

Exposure to lending products with ability to identify and analyze segments of risk and recommending solutions to business problems

An undergraduate and/or graduate degree in a field such as (but not limited to) Engineering, Mathematics, Statistics, MIS, IT, Economics, Risk Management, Analytics, Finance, or Accounting

Proficiency in MS Excel, PowerPoint, Alteryx and Tableau or similar tools

Experience working with stakeholders – building trust through hard work and honest assessments of projects, strong communication, high emotional intelligence

Working as part of a highly productive team, where culture and cooperation are critical for success.

Prior experience working with large relational databases is a plus

Prior experience synthesizing large quantities of data using tools such as Teradata, ORACLE or Snowflake is a plus

Prior experience working within a consumer bank, particularly within a risk or compliance function, or within the home lending line of business is a plus

Knowledge of US Home Lending Industry is preferred

Prior experience building and operating within a well-controlled data environment (following established procedures, recommending enhancements to controls) is a plus

3 years of experience within Risk Management, Data Analytics  or other quantitative field is preferred


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