Data Scientist

5 months ago

Randburg, South Africa FirstRand Full time

Job Description

To plan, build, optimize and implement innovative quantitative analytical methodologies, procedures, products and advanced models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with mínimal guidance.

Role Purpose

This role is within the FNB Retail Data and Analytics Office. We support the business through the development of predictive and prescriptive analytics specializing in Banking Retention and Attrition in the Customer Solutions Space. Utilize your advanced analytical skills to delve into complex data sets, identifying patterns and insights crucial for retaining and engaging banking customers. Drive strategic initiatives to minimize attrition rates and enhance customer loyalty through data-driven solutions.

Collaborate with cross-functional teams to develop innovative retention strategies tailored to individual customer needs, ensuring sustainable growth and success in the competitive banking landscape. If you're passionate about leveraging data to drive impactful business outcomes, this role is perfect for you.

Are you someone who:
- Has end to end Model development experience as well as, monitoring and optimization of existing models.- Has experience with disparate data and identifying unique data patterns for deep analysis and feature creation.- Understands how to work with big data and transform data to be suited for analytical insights.- Has strong technical skills with strong coding proficiency in SAS or SAS Viya.- Hard working individual that can work well under pressure.- Able to translate business requirements into tangible, creative solutions.- Has A/B Testing methodology background to measure uplift and improve KPIs.

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 take action.- Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to achieve this.- A team player - you believe in the power of teams, building and leveraging your networks.- Emotionally intelligent - you are able to connect with people to build trust.

Qualifications and Experience- Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science- Preferred Qualification: Honours Degree- Experience: A minimum of 3 to 5 years' relevant experience within Data Analytics or CVM Analytics within the Financial Services or Banking sector.- End to end Model development experience- Strong coding proficiency in SAS or SAS Viya- Able to work with Big Data- Prior stakeholder engagement experience

Post

FNB

LI-AR2

Job Details

Application Closing Date

21/06/24

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