27th June – Royal Bank of Scotland

27th June – Royal Bank of Scotland

Who should attend? Data Scientists & Data Engineers of all levels

Discover the exciting world of data science and engineering in banking at Women in Data and Royal Bank of Scotland’s Meet-up. You’ll have the opportunity to hear from RBS’s inspirational employees as well as joining in with interactive networking and a guide on upskilling.

Bindu Bakrania, Senior Analytics Manager, Commercial & Private Banking, Data & Analytics – Breaking the banking stereotype

Claire Thompson, Head of Data Innovation & AI, Commercial & Private Banking, Data & Analytics – A career in numbers – From MI to AI and everything in between

Graham Smith, Head of Data Innovation, RBS Data & Analytics – RBS’s journey towards becoming an AI-first bank

Victoria Stephens, Team Lead – Risk Decision Analytics – Building the bank of the future – Launch of the Natwest Data Academy

Location and times
When: 17.30 – 20.30 on Thursday, 27 June 2019
Where: RBS, 280 Bishopsgate, London, EC2M 4RB

Speakers

Location

Speakers

Name: Bindu Bakrania, Senior Analytics Manager, Commercial & Private Banking, Data & Analytics

Bio:

Bindu Bakrania has 17 years of financial services experience covering both retail and commercial banking. Her most recent role has been to lead the Pricing & Performance Analytics Team within Commercial and Private Banking in RBS. Bindu has a proven ability to shape business strategy through the interpretation and analysis of complex data, using her expertise to drive forward a number of initiatives for the benefit of both the business and customer. Prior to joining RBS Bindu worked for Barclaycard. Here she had accountability for the end to end analysis on the partnership cards portfolios together with a role as a product manager, directly accountable for the financial contribution of a cards product for the business. Bindu is a passionate people leader and a strong advocate for diversity in the workplace, playing an active role in supporting and developing other women across Data & Analytics within RBS.

Overview:

Understanding the bank in a changing world and the advantages RBS brings to someone’s career

Name: Claire Thompson, Head of Data Innovation & AI, Commercial & Private Banking, Data & Analytics

Title: A career in numbers – From MI to AI and everything in between.

Bio:

Claire Thompson is currently Head of Data Innovation and AI at RBS, supporting the Commercial and Private Banking sector. She is accountable for leading a team of data scientists, data engineers and web developers, to successfully deliver benefits for the business using machine learning and AI techniques. Whilst at RBS some of her key accomplishments include the successful delivery of an AI decisioning engine, the design and execution of a digital data strategy and the implementation of data quality remediation projects that led to significant cost reductions. Prior to joining RBS, Claire worked at Barclays within the Retail and Business Banking sector as the Strategy & Planning Director. Here she had accountability for the strategy definition and design of their branch network, contact centres, digital and mobile channels. With a degree in applied statistics, and over 20 years experience within financial services, she has a wealth of decision and data science experience at a strategic level and thrives on using data to analyse and solve complex, multi-faceted problems. This year Claire was recognised by DataIQ as one of the 100 most influential people in data and analytics within the UK.

Overview:

An honest view on the highs and lows of my career in data and analytics and lessons learnt along the way. From my early career as an MI analyst to my new and exciting role within the world of AI.

Name: Victoria Stephens, Team Lead – Risk Decision Analytics

Title: Building the bank of the future – Launch of the Natwest Data Academy

Bio:

Victoria has been working in Data Science in Natwest since she left university in 2010. In Risk Decision Analytics, she works to enhance automation for customers while managing risk through data analytics and modelling. She is currently leading a team which builds models for customer decisioning either at application point or for customer management of products across Personal, Business, Commercial and Private Banking. She has been working with other Data Science Practitioners to help set up the Data Science curriculum within Data Academy for Natwest since late 2018.

Overview:

The world of banking is evolving extremely quickly because the customers rightly expect us to meet their changing needs. Insights from data, and mathematical modelling are becoming ever more important in how we work as a company. How then, do we stay ahead of our competitors in this space? We build the best talent. That’s why Natwest was the first UK bank to launch a Data Academy.

Name: Graham Smith, Head of Data Innovation, RBS Data & Analytics

Title: RBS’s journey towards becoming an AI-first bank

Bio:

Following a range of roles in Financial Services starting in 1992, Graham joined the RBS Group in 2009 as COO for Risk Management in Corporate Banking. In 2011 he became RBS’ first Chief Data Officer and was responsible for the data management agenda within RBS. Graham is now Head Of Data Innovation, using his experience and vision to drive a radical evolution in the way RBS utilises data across the Group. These improvements have enabled the bank to serve its customers better, maintain its regulatory obligations and drive bottom line value.

Overview:

AI can have a profound impact on the way RBS operates. An overview of how we are driving RBS to become an AI-first bank and the practical challenges we have to solve to get there