Senior Data Engineer

Role description

Develop financial and customerbehaviour models that guide the design forecasting and commercial management of the eBucks rewards programme The role combines quantitative analytics rewards economics and business judgement to balance customer value behaviour change and financial sustainability

Responsibilities and Skills

Build maintain and enhance customerlevel financial and behaviour models

Model rewardrule valueproposition and partnership impacts including scenarios sensitivities and forecasts

Support the annual Earn Rule Change lifecycle preanalysis modelling forecasting implementation support and testing

Analyse customer and transactional data and convert findings into clear commercial recommendations

Support budgeting cost management and customerlevel financial analysis

Apply model governance through validation peer review documentation and quality assurance

Automate repeatable work and develop reusable scalable analytical capabilities

Technical Skills

Strong SAS andor SQL Python or R advantageous

Advanced Excel and strong PowerPoint capability

Financial forecasting scenario modelling and customerbehaviour analytics

Ability to manipulate large datasets translate business rules into model logic and improve existing processes

Automation AIassisted analytics and visualisation experience advantageous

QUALIFICATIONS EXPERIENCE

Bachelors degree in Data Science Actuarial Science Statistics Econometrics Applied Mathematics Quantitative Finance Computer Science or a related quantitative field

Honours or postgraduate qualification advantageous

3-5 years experience in data science financial modelling actuarial quantitative or commercial analytics

Banking financial services loyalty or rewards experience advantageous

CORE COMPETENCIES

Quantitative problem solving and critical thinking

Commercial and financial acumen

Attention to detail and accountability for accuracy

Strong stakeholder engagement and clear communication

Proactive curious and continuousimprovement mindset

Ability to work through ambiguity and tight delivery timelines

Skills

Mandatory Skills : Python - Data Science, SAS

About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert