Age? Degree? Experience?
What areas of IT are hot right now?
- Thread starter Energize
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Age? Degree? Experience?
I'm aware that your firm and some of your rivals are after all you guys host fairly relevant meetup.com events quite regularly.
What I can't find out is which banks are using ML and where in their businesses they're using it. (aside from a few small projects relating to credit scoring on the retail side).
I know its being used for back office stock/cash recs.
Bank of New York are looking into it for a number of different reasons. They have an "Innovation Center" here;
https://www.bnymellon.com/us/en/careers/innovation-center/
We're going to start looking at things like Blockchain with them within the next 6 months.
Agreed just renewed my CCNA and now focusing on the AWS Associate Cert
What basis do I make a decision on here? I want something that's fairly hands on, less keen on data analysis and paperwork if that makes any sense. 
Man of Honour
IoT, "Cloud", Machine learning, Blockchain, Big Data, Data Analytics & Predictive modeling
Yup. To me the biggies at the moment are:
* Security - everything you can shake a stick at. Literally like gold dust - companies like BAE etc are working with universities etc to build their own pools of talent.
* Data - unlocking and analysis of data (both in realtime and 'big data). Data Science and the current belief that the big pools of data out there have some nuggets of gold.. the reality is that by the time that people have mined it.. it's worthless. Solutions and products exist for both realtime and big data, however they're general.. the cost for discovery requires specialist knowledge of the market sector and the data set.
If you think of Spark - that's Data Engineering.. Data Science is an entirely different beast.
* DevOps - because silos deliver.. not. The devops model really is about delivering business change.. continuously. Previous dev & ops silos resulting in development and then static 'owners' then rejecting everything on risk grounds! Hence having an always 'on' engine driving change in the organisation is good..
* Cloud - this is still big, especially for the laggard (large) organisations. However the skillets are available, the resourcing is just about attracting that talent.
These areas are likely to get paradigm shift in the next 10-20 years when Quantum computing comes online..
Given the estate and the risk/regulation in the financial sector - projects tend to get complicated.
An IT-related degree and a Security+ certificate would probably be a good start. Previous experience always helps. Then when you have more experience, a CISSP is pretty standard.
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eh? what makes you think data scientists don't use spark?
yes indeed they do, though I'm sorry I'm not quite sure what you're trying to say - how does a statement that projects get complicated relate to my query of where banks are currently using ML?
Did you receive my trust message I sent you about 10 days ago?
It's down to the legalities and regulatory aspects - plus add a low risk appetite that means the traditional body of existing banks want to know everything about it before they engage in it.. but ML - that's the point you don't have the answer and qualified risks (costs, impact to the bank due to publicity etc) before you engage in it.. to a certain level you can do pattern recognition, but when you say you're going to use it to discover without that.. that when things get interesting. Especially when you're interacting with customers at the same time
Like Tingle - I'm in a very large financial institution, doing realtime and big data analytics.
eh? what makes you think data scientists don't use spark?
It's the Nasa scientist vs engineer argument.
One is interested in pushing the boundaries and to take theory & data to propel and test new ideas.
The engineer is there to cope with taking that and making it happen- both at scale and coping with the environment.
I think I understand what you mean - effectively making the scientist-engineer like DevOps, however the scientist needs space/time to spend doing the non-engineering part of building into the existing services. Especially in such a large organisation. The result is that tools like Hadoop, Spark etc are too slow..
Is Security+ certificate even worth getting? All I read to do with anything + is said to be a waste of time
Really, that's all you read? Instead of only googling at subjective opinions from (usually overqualified) people on how employers look at an industry-recognised certification, try using some knouse and taking a look at the subjects that the certificate covers.
If you do not have a good grounding knowledge of those areas then ask yourself if knowing them would hurt in getting an entry-level job in Security vs someone who doesn't know those topic without a Security+? It's not a difficult question to answer. At the very least buy the book and learn it. https://www.amazon.co.uk/CompTIA-Se...t_2?ie=UTF8&psc=1&refRID=5X30GAGGHRV5GCCA5CEG
The Security+ certificate is the only industry-recognised baseline security certificate I know of that requires no previous experience. https://certification.comptia.org/certifications/security
An SSCP is better than Security+ but requires one year of experience in one of the IT security domains https://www.isc2.org/sscp-how-to-certify.aspx
A CCISP is the next level above that and requires 5 years experience in two of the IT security domains https://www.isc2.org/cissp-how-to-certify.aspx
seems a bit odd to specify arbitrary years of experience for a qualification - if their assessment methods are good then they shouldn't need to worry
it isn't like everyone's experience will be at the same level, intensity or that those individuals are as capable as each other
it isn't like everyone's experience will be at the same level, intensity or that those individuals are as capable as each other