a im lm vic : Ta nh V.E.T, 98 Hong Quc Vit, Cu Giy
S lng cn tuyn : 02 ngi
Loi hnh cng vic : Ton thi gian c nh (T th 2 n th 6)
Mc i ng: 15- 25M
M t cng vic:
- Thu thp, x l v phn tch d liu t nhiu ngun (LMS, LOS, DWH, Data Lake...).
- Xy dng bo co, dashboard (Power BI/Superset/SQL) phc v qun tr ri ro, sn phm, kinh doanh v vn hnh.
- Theo di cc ch s hiu qu: ph duyt, gii ngn, ri ro (FPD, DPD, NPL), thu hi, PnL.
- H tr xy dng v ti u m hnh chm im tn dng, vintage, hazard curve, phn tch cohort.
- Phi hp vi cc phng ban (Risk, Business, Collection, Finance) cung cp insight, h tr ra quyt nh.
- xut ci tin cht lng d liu, quy trnh bo co v t ng ha.
Yu cu cng vic:
- Tt nghip H chuyn ngnh: Ton Thng k, Kinh t, Ti chnh, Ngn hng, Cng ngh thng tin hoc lin quan.
- C t 1 nm kinh nghim phn tch d liu (u tin trong lnh vc ti chnh ngn hng fintech).
- Thnh tho SQL, Excel; u tin bit thm Python/R, Power BI/Superset.
- Hiu bit c bn v cc ch s trong ti chnh tn dng (approval rate, vintage, NPL, risk cost...).
- T duy logic, cn thn, yu thch con s v phn tch d liu.
- Kh nng giao tip v lm vic nhm tt
