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  • Posted: Aug 4, 2020
    Deadline: Not specified
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    Lulalend is a FinTech company with a belief in the power of small business, making a difference, building a better solution and striving for excellence. We work hard to empower businesses across South Africa with the funds they need to grow. Lulalend offers small business funding of between R20 000 - R250 000 to businesses that have been in operation for at ...
    Read more about this company

     

    Head of Data Science

    OVERALL PURPOSE

    Lulalend is South Africa’s first and only online and automated business-lending platform aimed at providing small and medium businesses with quick access to funding to help them grow! We use data, technology and design to efficiently deliver capital to a market underserved by banks.

    Reporting into our CTO, this role will oversee the full lifecycle of our data-driven solutions, leveraging data on our users to deliver innovative predictive models that guide our business, with a core focus on the development of new and existing data and machine learning models for purposes of credit assessment, marketing and management.

    With a thriving Data Science team in place, we’re looking for a hands-on Lead Data Scientist who can step into the role and steer our team to even greater heights, continuing to build on an organisation-wide approach and passion for driving data.

    MAIN RESPONSIBILITIES:

    • Working closely with our CTO to determine and drive the Data Science vision and roadmap
    • Maintain and consistently improve our overall risk assessment algorithms which comprises of credit bureaus, internal models and affordability analytics
    • Development of data driven analytics and processes to assist all areas of the business
    • Work with Engineering and Product teams to report on process and support access to data for all areas of the business
    • Ensure our data and analysis is reliable and that process is followed to ensure timeous and high-quality deliverables
    • Work with Data Engineering to determine metric accuracy
    • Grow, lead and mentor a highly skilled team of Data Scientists and Data Engineers, evaluating team performance and driving objectives
    • Act as the evangelist for all our data science initiatives, driving forward a data-driven culture, sharing knowledge and expertise across the various teams
    • Form part of the senior leadership team with a focus on creating end-to-end data solutions to get our business to its next phase of growth

    THE COMPETENCIES WE’RE AFTER

    • Quality and excellence focused
    • Curiosity
    • Big picture thinker
    • Ability to lead a team
    • High level of EQ
    • Customer centric
    • Team collaborator
    • Hands-on mentality
    • Focused on process improvement
    • Problem-solver
    • Business acumen and intuition

    THE SKILLS AND EXPERIENCE WE’RE LOOKING FOR

    • Degree in a quantitative field (Mathematics, Computer Science, Engineering, Statistics or equivalent). Masters an added bonus
    • 10+ years experience working within data and analytics, with a minimum of 5 years experience in the field of data science, machine learning and AI
    • 2+ years experience as a Lead/Expert Data Scientist
    • Deep knowledge and experience in machine learning techniques and evaluating data science algorithms for quantifying customer experience and value
    • Extensive experience in data modeling, particularly in the field of credit
    • Strong project management skills and the ability to work across teams on cross-functional projects
    • Experience leading and mentoring Data Scientists
    • Experience advising and educating stakeholders in Data Science best practice
    • Experience working with Product and Development teams with a strong grasp of product management and programming
    • Experience working in an agile environment within a tech driven company, extra points for fintech experience
    • Strong communication and presentation skills

    Method of Application

    Interested and qualified? Go to Lulalend on lulalend.breezy.hr to apply

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