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Hi all, I just finished my recruiter phone interview today for “Risk Prevention Escalations Specialist, Global Risk Operations” role and it went well. I have an interview on Friday with the hiring manager. Does anyone know what kind of questions they’ll be asking? I only have 2 days to prep..
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Hi guys.
I am a senior analyst in a big4, passed out recently. I wanna work for financial institutions like Citi Barclays UBS HSBC India . I am skilled It will be very helpful if someone can give me some insights about the interview procedures for the analyst level roles, skills required, wlb, basically any kind of insights will be appreciated.
Thanks a ton in advance.
Hi Fishes
I would like to know about the client interviews (especially in data science or machine learning roles).
Are these interviews tough?
Are these interviews meant to assess technical knowledge? For example, what is binomial distribution, what are different data structures in python, ml algorithms etc.
I would request each of the nagarrians to share their thoughts irrespective of the technologies you are working.
I am thankful to you for taking time and helping me out.
Nagarro
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Her loss 🔥🔥🔥
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What’s the scale of data you were dealing with? Is it a scheduled cronjob? Putting something like “Developed Strategy” without tangible implementation details sounds words to me until you highlight the novelty of it.
Tbh, I’m not very sure how much details to go into on implementation end. These are really helpful though! This is my first year in analytics and don’t really know what to update in my resume. Thanks!
Scoped business requirements, conceptualized a wire frame to automate a repetivie process, and worked with SDEs to create and put ETL into production.
You could also add vetting technology stack and implementing the stack if you did that. Unsure if you picked out snowflake or it is an existing technology.
Thank you for your input! This sounds great.
Developed analytics strategy that does XYZ to streamline XYZ process resulting in XYZ savings...
Was it a one-time load from excel into the warehouse, or is it now automated from excel files into the warehouse on a periodic basis? Did you do any data cleansing? Were there any transformations? Is the DWH a star / snowflake schema? Was this conducted to create a single source of truth?
Answers to the above would give a good basis to fit in a keyword or two and potentially shorten your current summarisation :)
It is now automated from excel to dwh, no data cleansing on my end but planned for transformation for offshore team. Dwh is a snowflake and single source of truth between teams in different countries. Guess I have my answer.
Thanks A1!
I’d call it data strategy/ architecture