Forensic Analytics Manager

London
£60000 - £70000 per annum + Additional Benefits

Forensic Analytics Manager

London

Up to £70,000

The Company

You will be able to have an impact across multiple projects and industries, using SAS and Python to solve your clients most data intensive challenges. You will get exposure to multiple areas of business - having an important focus on fraud, bribery and corruption.

The Role

In this role you will be managing a close-knit team, using cutting edge technology to work along side specialists in your team. No day will be the same, you will get to use tools such as SAS, Python and R to work across the whole life cycle of fraud. You will:

  • Find solutions for your clients on projects arising from high profile legal or commercial disputes or driven by compliance and risk issues - within the financial crime remit using SAS and R
  • Work closely with stakeholders to understand requirements and problems that they face
  • Use SAS and R to drive insight that you will advise back to the client

Key Skills and Requirements

  • Recent experience in SAS, Python, R, Hadoop
  • Experience of text analytics using concept searching, machine learning or clustering
  • Hands on experience providing actionable insight
  • Experience in Financial Services

HOW TO APPLY

Interested? Please register your interest by submitting your CV directly by applying to this advert.

Send similar jobs by email
VAC - 40590
London
£60000 - £70000 per annum + Additional Benefits
  1. Permanent
  2. Customer Insight

Similar Jobs

Salary

Up to £34000 per annum

Location

London

Description

Are you looking for an opportunity to challenge yourself in a leading media company based in Central London?

Salary

£40000 - £50000 per annum

Location

London

Description

Are you a highly technical analyst who is looking for a challenge within the financial service industry?

Salary

US$140000 - US$160000 per year

Location

Portland, Oregon

Description

Exciting opportunity working for a global brand going through a large digital transformation phase and focusing on personalizing their merchandising strategy.

Salary

£45000 - £50000 per annum

Location

London

Description

Looking to take complete ownership over a brand-new loyalty offering? Look no further!

Salary

£35000 - £50000 per annum

Location

London

Description

This is a chance to work within a leading bank across their vast array of different markets, products and channels to deliver insights

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Harnham's Brush with Fame

Harnham's Brush with Fame

Harnham have partnered with The Charter School North Dulwich as corporate sponsors of their ‘Secret Charter’ event. The event sees the south London state school selling over 500 postcard-sized original pieces of art to raise funds for their Art, Drama and Music departments. Conceived by local parent Laura Stephens, the original concept was to auction art from both pupils and contributing parents.  Whilst designs from 30 of the school's best art students remain, the scope of contributors has rapidly expanded and now includes the work of local artists alongside celebrated greats including Tracey Emin, Sir Anthony Gormley, Julian Opie, and Gary Hume.  In addition to famous artists, several well-known names have contributed their own designs including James Corden, David Mitchell, Miranda Hart, Jo Brand, Jeremy Corbyn, and Hugh Grant.  The event itself, sponsored by Harnham and others, will be hosted by James Nesbitt, and will take place at Dulwich Picture Gallery on the 15th October 2018.  You can find out how to purchase a postcard and more information about the event here. 

Using Data & Analytics To Plan Your Perfect Ski Trip

Using Data & Analytics To Plan Your Perfect Ski Trip

The Ski season may be drawing to a close, but it’s never too early to start planning for next year. Born and raised in the mountains of Austria, I have been skiing all of my life. For me, it’s about freedom, enjoying the views and forgetting about everything else.  But, since I’ve stepped into the world of Data & Analytics, I started to asked myself “what can I learn from my work that I can apply to my skiing”? After having a look around, I began to discover ways in which Data could support my passion. I’ve pulled together some of the most interesting things I’ve discovered and created this handy guide to help you prepare for your next trip. Here’s how you can use data to create the perfect ski trip.  Follow the snow Anyone who has skied before knows about the uncertainty before a trip. Will there be enough snow? Will the weather be good? Which resort is the most suited to my ability? Fortunately, somebody has already pulled this information together for you. Two "web spiders" were built via Scrapy, a Python framework used for data extraction, the first of which extracted ski resort data. The second spider, on the other hand, extracted daily snowfall data for each resort (2009 - present). After collecting Data from more than 600 ski resorts and spitting it into 7 main regions, the spiders were able to form a conclusion. The framework then pulled out key metrics, including the difficulty of runs, meaning that skiers are now able to decide which resort is most suitable for their ability.  As for the weather, onthesnow.com has recorded snowfall data from all major resorts, every year since 2009. We all know that good snow makes any trip better, so the collected data here will help skiers ensure they are prepared for the right weather, or even plan their trip around where the snow will be best.  Optimise your skis Ski manufacturing is a refined and complicated process, with each ski requiring many different materials to be built. Unfortunately, this often results in the best skis running out quickly as supply outspeeds demand.  To help speed up and improve the process, companies are implementing technologies like IBM Cognos* that monitor entire supply chains so that no matter how much demand increases, they have the materials to meet it.   Additionally, since the majority of companies have become more data-driven, production time has been reduced by weeks. Predictions for future demand has also become 50% more accurate, resulting in a drop of 30% idle time on production lines. Skip the Queue Tired of queuing for the ski lift? There’s good news. As they begin to make the most of data, ski resorts are introducing RFID* (Radio Frequency Identification) systems. These involve visitors purchasing cards with RFID chips included, allowing them to skip queues at the lifts as there is no need to check for fake passes. The data can then be utilised for gamification platforms to turn a skier’s time on the slopes into an interactive experience.  The shift towards Big Data not only has advantages for the visitors, but the management are also benefiting. In the past, it has been difficult to analyse skier’s data. Now, with automated and proper data management, the numbers can be crunched seamlessly and marketing campaigns can be directed at how people actually choose to ski.   Carve a Better Technique Skiing isn’t always easy, especially if you haven’t grown up with it. Usually, ski instructors are the solution but, in the age of Data & Analytics, there are other solutions. Jamie Grant and co-founder Pruthvikar Reddy have created an app called Carv 2.0, which allows you to be your own teacher. It works by using a robust insert that fits between the shell of your ski boots and the liner. It then gathers data from 48 pressure sensitive pads, and nine motion sensors.  This data is fed to a connected match-box size tracker unit, sitting on the back of your boots, before being relayed via Bluetooth to the Carv App on your phone. Carv can then measure your speed, acceleration and ski orientation a staggering 300 times a second.  Thanks to a complex set of algorithms this data is then converted into an easy to follow graphic display on your phone’s screen as well as verbal feedback from Carvella. The accuracy of this real-time data could make it a better instructor than any individual person.  Data & Analytics are helping streamline every part of our lives. Whilst the above can’t guarantee a perfect ski trip, they can help us minimise risks and optimize our performance and experience.  If you’re able to use data to improve day-to-day living, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

Recently Viewed jobs