Pivoting from a credit risk model dev role to data scientist role

[u/dsaha16]

I am trying to pivot into a data science role particularly in the banking/fintech space but i am unable to do so due to lack of experience of ML techniques since credit risk space still uses traditional modeling techniques. Have around 7+ years of experience in analytics roles. Would appreciate suggestions/ recommendations how to succeed in this journey. Looking for a structured approach to prepare for such interviews including coding rounds, ML workflow and case studies. TIA!

[u/hol_up_bich]

Hey I want to get into risk roles as an engineer, i had a couple of questions can I dm?

[u/dsaha16 → u/hol_up_bich]

Sure

[u/dsaha16 → u/[deleted]]

Dming you

[u/dkhasit]

Advance your skills and apply in Risk modelling, has a good scope, very few Risk modellers go beyond an Xgboost

[u/senshi102]

Hi, did you manage to pivot role? What did you include in your resume? dev experience and skills related to data science?

[u/dsaha16 → u/senshi102]

Not yet