What are the most critical aspects for Payments in ride sharing and other similar marketplaces? Lyft engineering team has worked tirelessly on the state-of-art payment platform, and is constantly innovating on payment features. During this meetup, we’re excited to share these achievements:
Insights and learnings from our experience working on the fast growing Payments platform at Lyft.
The mission critical role payments plays in our Marketplace, the key technical challenges we face and some examples of innovative solutions we developed to address these challenges and opportunities.
New products and features.
Core foundational elements of our our platform such as payments reliability, big data processing for reporting and fraud detection and prevention. All of these are challenges that most businesses in the commerce and payments space face.
This would be a great opportunity for you to connect with other like minded payments professionals and share and learn from each others experiences. If you are like us, excited about Payments, join us at Lyft HQ for the meet up.
Schedule
6:00pm - 6:30pm: Mix & Dinner
6:30pm - 6:35pm: Welcome & intro to Lyft pay, by Ashwin Raj, VP of Payments at Lyft
6:35pm - 6:45pm: Opening Notes
6:45pm - 7:05pm: Monitoring payment reliability, by Jun Erh, Engineer of Payments at Lyft
7:05pm - 7:25pm: Fraud, Mike Ross, by Engineer of Fraud team at Lyft
7:25pm - 7:35pm: 10 min break
7:35pm - 7:55pm: Next generation of financial reporting infrastructure, by Siqi Li, Engineer of financial infra at Lyft
7:55pm - 8:15pm: Tech talk 4: TBD
8:15pm - 8:30pm: Panel for Q&A
8:30pm - 9:00pm: Mixing & social events
Speakers:
Ashwin Raj: Ashwin is the VP of Payments at Lyft managing Payments, Financial Services and Infrastructure, Fraud and Identity which constitute some of the core capabilities of the Lyft ecosystem enabling drivers and passenger to efficiently utilize the Lyft platform and services.
Anand: Anand is lead product manager at Lyft Payments. Before join Lyft, Anand spent 5 years at Facebook, was a product lead for Facebook Payments and Commerce platform and led consumer payments product and strategy. Responsible for driving innovation and building out our strategy to win in Payments and Commerce globally. Anand is an experienced Product Leader in Payments, Commerce and Mobile products. Proven track record of successfully launching and growing innovative products and businesses. assionate about making the world a better place by using technology to help people, businesses and entrepreneurs.
Jun Erh: Jun is a software engineer on the Payments Infrastructure team at Lyft. She is currently leading the efforts of building the next generation of payment transaction system. Before Lyft, she worked on building large scale systems for ads billing and serving at Twitter.
Mike Ross: Mike is a Software Engineer on Lyft's Fraud team. He has spent the last few years helping build a risk decision platform that enables teams to ship logic from simple business rules to deep learning models. He is currently working to expand the platform to new teams and products across Lyft.
Siqi Li: Siqi is software engineer on the financial infrastructure at Lyft. Currently, working on financial reporting and risk mitigation. Also, he was on data platform at Lyft, and he has built some of the key pieces in the event ingestion and real-time querying pipelines on Hive/Presto. previously, he worked at Twitter in Hadoop team.
What are the most critical aspects for Payments in ride sharing and other similar marketplaces? Lyft engineering team has worked tirelessly on the state-of-art payment platform, and is constantly innovating on payment features. During this meetup, we’re excited to share these achievements:
Insights and learnings from our experience working on the fast growing Payments platform at Lyft.
The mission critical role payments plays in our Marketplace, the key technical challenges we face and some examples of innovative solutions we developed to address these challenges and opportunities.
New products and features.
Core foundational elements of our our platform such as payments reliability, big data processing for reporting and fraud detection and prevention. All of these are challenges that most businesses in the commerce and payments space face.
This would be a great opportunity for you to connect with other like minded payments professionals and share and learn from each others experiences. If you are like us, excited about Payments, join us at Lyft HQ for the meet up.
Schedule
6:00pm - 6:30pm: Mix & Dinner
6:30pm - 6:35pm: Welcome & intro to Lyft pay, by Ashwin Raj, VP of Payments at Lyft
6:35pm - 6:45pm: Opening Notes
6:45pm - 7:05pm: Monitoring payment reliability, by Jun Erh, Engineer of Payments at Lyft
7:05pm - 7:25pm: Fraud, Mike Ross, by Engineer of Fraud team at Lyft
7:25pm - 7:35pm: 10 min break
7:35pm - 7:55pm: Next generation of financial reporting infrastructure, by Siqi Li, Engineer of financial infra at Lyft
7:55pm - 8:15pm: Tech talk 4: TBD
8:15pm - 8:30pm: Panel for Q&A
8:30pm - 9:00pm: Mixing & social events
Speakers:
Ashwin Raj: Ashwin is the VP of Payments at Lyft managing Payments, Financial Services and Infrastructure, Fraud and Identity which constitute some of the core capabilities of the Lyft ecosystem enabling drivers and passenger to efficiently utilize the Lyft platform and services.
Anand: Anand is lead product manager at Lyft Payments. Before join Lyft, Anand spent 5 years at Facebook, was a product lead for Facebook Payments and Commerce platform and led consumer payments product and strategy. Responsible for driving innovation and building out our strategy to win in Payments and Commerce globally. Anand is an experienced Product Leader in Payments, Commerce and Mobile products. Proven track record of successfully launching and growing innovative products and businesses. assionate about making the world a better place by using technology to help people, businesses and entrepreneurs.
Jun Erh: Jun is a software engineer on the Payments Infrastructure team at Lyft. She is currently leading the efforts of building the next generation of payment transaction system. Before Lyft, she worked on building large scale systems for ads billing and serving at Twitter.
Mike Ross: Mike is a Software Engineer on Lyft's Fraud team. He has spent the last few years helping build a risk decision platform that enables teams to ship logic from simple business rules to deep learning models. He is currently working to expand the platform to new teams and products across Lyft.
Siqi Li: Siqi is software engineer on the financial infrastructure at Lyft. Currently, working on financial reporting and risk mitigation. Also, he was on data platform at Lyft, and he has built some of the key pieces in the event ingestion and real-time querying pipelines on Hive/Presto. previously, he worked at Twitter in Hadoop team.
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