🏢 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