Hello Future Data Scientist II
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.
As part of our talent team at FNB HSL, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
Are you someone who can:
Create test plans and test cases for the functionality of a system to prevent errors in the live system
Use analytics and data to solve business problems and change the world
Learn new statistical and coding techniques, to find superior analytical solutions for an ever-changing environment
Dig deep within themselves to continuously remain curious, challenge the status quo and try to grow themself to a level that is almost out of reach.
Build sound relationships based on trust, openness and respect
Believe that without you, the property-analytics function won’t be the best in the industry
You will be an ideal candidate if you:
Have a qualification in Actuarial Science, Mathematics, Statistics or similar
Have 2+ years as a Data Scientist doing analytical and modelling work
Have experience in Property Analytics (highly beneficial)
Have coding experience in SAS, SQL and Python (a bonus)
The role will perform the following functions:
Ability to understand different modelling approaches as well as interpret modelling outputs. Capable of communicating these to non-technical stakeholders as well.
Develop, enhance and promote predictive property-related models using SAS or other appropriate software
Research into best practices regarding the development, maintenance and use of statistical models for property-related business needs. Able to interpret how other property-related models function. Able to interpret how .related business needs-for property statistical models
Ability to identify and interpret key trends in the property market and interact with business to understand the impact of these trends and identify possible risks and opportunities.
Retrieve and manipulate quantitative property-related data into understandable format through advanced data mining and other coding techniques.
Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation
Ensure compliance to legislative and audit requirements and adherence to relevant
Understand customer needs and develop or drive solutions for them.
Ability to develop and implement value-adding reporting using different reporting software tools.
Ensure stakeholder satisfaction by delivering a service that is consistent, seamless and error free.
Self-motivated individuals looking to find solutions to various business problems, with a keen interest in data science.
Contribute towards the analytics community e.g. participate in knowledge and skills sharing.
Keep up to date with the latest industry developments, improvements and trends.
Identify and request relevant training interventions, workshops and seminars.
Manage personal development to increase own skills and competencies.
An improved understanding of property related data and valuation practices
Develop, encourage and nurture collaborative relationships within FNB and/or across the FRG
You will have access to:
Opportunities to network and collaborate
Challenging Working
Opportunities to innovate
We can be a match if you are:
Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough to
Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it
Are you interested to take the step? We look forward to engaging with you further. Apply now!
#Post
#FNB
#LI-GJ1
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
07/11/24All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.
FNB Building, 1 Enterprise Road, Fairland, Johannesburg, 2170