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Decision Scientist (Business Operations)
Decision Scientist (Business Operations)-October 2024
Cape Town
Oct 25, 2026
About Decision Scientist (Business Operations)

  WHAT WE DO

  We're Lula. We build innovative fintech products to help SMEs make cash flow. From instant access to funding to all-in-one business banking accounts and cutting-edge financial analysis tools, we're on it!

  Our purpose is to help SMEs manage their business better, faster, simpler, Lula, so they can spend more time doing what they love.

  Speaking of love, we're looking for Lulas who love to make a difference to join our team and change the game.

  WHY WE DO IT

  We care about our family, our work, our community, our country.

  We're passionate about EMPOWERING EVERY SME TO SUCCEED.

  And to do it, we're BUILDING THE NEXT GENERATION OF FINTECH PRODUCTS TO HELP SMES MAKE CASH FLOW.

  Why? Because the more businesses that succeed, the more jobs, money, and opportunities for all South Africans - including Y.O.U.

  So get curious.

  Rise to the challenge.

  Don't settle for average.

  Shoot for amazing.

  We're here to change the game, the norm, the world,

  Because when we change something for the better, we change ourselves too.

  You are.

  We are.

  Lula

  OUR VALUES

  Collaborative - we're a clan and work together as a team, always towards a common goal

  Committed - we're accountable and follow through no matter the challenge

  Curious - we look for better ways to do things and make a positive difference

  Connected - we stay close to, learn from and look to understand each other and our customers

  Compassionate - we go out of our way to care about our colleagues, our customers and our community

  OVERALL PURPOSE

  As a Decision Scientist, you will work closely with the Head of BizOps and a team of Data Analysts to support the process enhancement teams. You will leverage your operational data expertise in the financial, credit, and analytical space to build out process enhancement and process monitoring models to support operational efficiency with funding and banking operations that benefit our South African SME community.

  Responsibilities will include:

  Collaborate with the Head of BizOps to continuously evaluate and improve analytical models and metrics for operational efficiency measurement using appropriate tools and techniques.

  Ensure appropriate governance is applied to the development, sign-off, and monitoring of analytical models, metrics, and tools

  Work closely with the Head of BizOps to identify new opportunities for improving and monitoring operational performance

  Analyze operational performance to identify higher friction areas, opportunities for refinement, and efficiency against defined quality metrics

  Report to the Head of BizOps on operational performance and outcomes of operational interventions

  Expand the company's data with relevant third-party sources for building analytic systems.

  Stay up-to-date with AI/ML technology to identify emerging trends and methodologies

  Collaborate with the Data Engineering function to develop, maintain, and scale the Data Warehouse

  THE SKILLS AND EXPERIENCE WE'RE LOOKING FOR

  Master's degree in a quantitative field (Mathematics, Statistics, Finance, or equivalent)

  4+ years of experience in data and analytics, with 2+ years of experience in financial services

  Proven track record of applying machine learning algorithms within an operational context

  Skilled in Python (pandas, numpy, scikit, etc.) and SQL (Postgres and MSSQL)

  Leading by example, always demonstrating best practices around model development

  Understanding and appreciation of product development processes within an agile environment

  Excellent communication skills with the ability to relay technical information to a non-technical audience

  THE COMPETENCIES WE'RE AFTER

  Strong team collaboration skills

  Ability to think big picture

  Hands-on mentality

  Excellent influencing skills

  Strong problem-solver

  Focused on high quality output

  Self-starter

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