Adam C.

Forensic Analyst
Happy to mentor
Happy to be contacted

About me

Adam C.
Politics, Economics and Philosophy
Economics and Philosophy
Undergraduate
Derwent
2011
United Kingdom

My employment

Forensic Analyst
KPMG
United Kingdom
Finance and consultancy
2011
2013

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A day in the life of a Forensic Analyst in the United Kingdom

What I do

Data mining, analysis, extraction, verification, cleansing; building and managing databases; evidence management

Skills I use and how I developed them



Extracurricular skills:
Analytical skills and attention to details (degree), team work (student journal co-editor), effective communication (degree).

What I like most

I enjoy the dynamic nature of the work.

What I like least

Lots of admin due to high security standards.

How I found out about the job

Employer's website

The recruitment process

Long but transparent, required a lot of preparation - with 4 stages in total.

Courses taken since graduation

SQL, VBA, Basic Accounting, Project Management

Where I hope to be in 5 years

I've already moved to Data Analyst role with Barclays.

My advice to students considering work

Be active, get involved in societies, do extracurricular stuff and make sure that you enjoying it and developing yourself at the same time, get some solid IT skills. Internships are useful but not a must - I haven't done any and still secured a graduate job.

Everything is becoming automated, and the volumes of data bigger and bigger, so it's all about IT. Learn the tools: R, SAS, MS SQL and some BI ones like Qlikview or Spotfire (if you fancy more business oriented applications of data analytics), and learn some programming languages like e.g. Python, Java or C##. Usually you don't need to know them all, so focus on 2 tools and 1-2 languages at the beginning, you'll pick up the rest with time and according to your needs.

My advice about working in my industry

Everything is becoming automated, and the volumes of data bigger and bigger, so it's all about IT. Learn the tools: R, SAS, MS SQL and some BI ones like Qlikview or Spotfire (if you fancy more business oriented applications of data analytics), and learn some programming languages like e.g. Python, Java or C##. Usually you don't need to know them all, so focus on 2 tools and 1-2 languages at the beginning, you'll pick up the rest with time and according to your needs.

Next steps...

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