Nice to Meet You! We are Ascenda
Ascenda powers the growth of leading financial services brands worldwide with premium rewards programs that differentiate their products, drive profitable customer behaviors, and create sustained engagement. We enable the world-class rewards propositions of major banks and fintechs around the globe.
Our clients include the world’s largest banks, top tier card issuers and fintechs who utilize our rewards infrastructure to power their earn & burn rewards programs. These include American Express, CapitalOne, HSBC, Brex, Virgin Money, SMBC, ICBC, Bradesco, ANZ, HDFC and Top 10 financial services brands in many other countries.
With a best-in-class technology suite and the world’s broadest rewards content marketplace, we are the engine behind winning premium rewards propositions for financial services all around the globe.
Our clients are spread across continents, and we serve over 1 billion customers globally. No matter where you are in the world, you’ll recognize our footprint!
We believe that nothing should stand in the way of companies who strive to drive growth via compelling and effortless rewards propositions that their customers love.
Welcome to the future of customer growth. Join us as we shape the future of rewards in financial services!
About Ascenda, Personalization
Join our Personalization team and be at the forefront of crafting user experiences that resonate deeply. As a Senior Engineer, you'll tackle intriguing challenges: How to recommend the perfect item at the perfect time? How to prioritize the content users crave? You'll be instrumental in making our recommendation systems even more efficient, accurate, and scalable.
Requirements
What we're looking for:
- Minimum of 5 years experience in a relevant field, robust computer science foundation, and a proven history managing extensive systems in a live setting.
- Proficient in programming with Python and/or Ruby.
- Familiarity with cloud services like AWS, GCP, or Azure.
- Competence in machine learning engineering, including a solid grasp of data handling, validation, and scheduling in a machine learning operational framework.
- Proven track record in achieving objectives within multidisciplinary projects.
- Enthusiastic about collaborative teamwork.
Preferred:
- Practical experience with recommendation systems, natural language processing, and personalization techniques.
- Application of machine learning in tangible scenarios.
- Ability to visually represent recommendation data for insightful analysis.
- Contributions to open-source projects.
- Publication record, including blog posts.
What matters at Ascenda:
We are passionate, we keep things simple, we focus on results, we work together & we innovate!
We have a rewarding working place that provides a:
- High growth environment & exponential career development
- Mobile & flexible work environment
- Competitive compensation
- Travel perks & Employee rewards
Ascenda is an equal opportunity employer, committed to a diverse and inclusive workplace.
We thank you for your understanding that only shortlisted candidates will be contacted for interviews.
