Analytics Engineer

hace 6 meses

Santiago de Chile SumUp A tiempo completo

**ONB and Fraud Prevention Analytics Engineer JD**

**About SumUp**:
The everyday hero: Small business owners are at the heart of all we do, so we create powerful, easy-to-use financial solutions to help them run their businesses with a founder's mentality and a 'team-first' attitude. We have diverse teams across Europe, South America and the United States working together to ensure that the small business owners we partner with can build a thriving business.

**About the team and the opportunity**:
We are looking for a new team member for our fraud prevention team Our team focuses on detecting and preventing financial, legal, and reputational fraud using advanced analytics tools. The team consists of two sub-areas, OPS and Analytics. OPS is responsible for detecting and managing fraud cases, while Analytics plays a role as a data enabler and executes high-impact projects for the area.

This role will be primarily focused on the Analytics area, with a specific emphasis on our databases (data enabler, models), and executing high-impact projects related to automation. The main goal will be to generate impact on our main objectives, such as reducing chargebacks and friction, working closely with our Data Analyst to receive guidance and collaborate towards a common direction.

We have recently merged our Onboarding and Risk & Fraud functions into one team - ONB and Fraud Prevention. This presents an exciting opportunity for us to leverage the synergies between the two teams. By adopting an analytics approach, we aim to make onboarding a more efficient and seamless operation, while also using it as a crucial tool for fraud prevention.

While the focus of this position will be on fraud prevention, we expect that the role will also involve responsibilities related to onboarding, with a strong emphasis on leading the team towards flawless execution (automation, data enablement and KPIs).

**Know more about the Team**:
As LATAM tribe, we have a close relationship with the team in Brazil, who have a higher volume of transactions and a large team with whom we must continue to work together to take advantage of these synergies. Additionally, we are in weekly contact with the European and global teams, with whom we work along to develop products that include LATAM. These relationships are very important, as all these countries have already gone through many of the products we will be incorporating, so there is a lot of learning from which we can leverage.

**As our Analytics Engineer, you will help us to**:

- Maintain and improve the data models used for fraud detection.
- Lead the technical development of OPS automation projects (Bots, API's, data integrations).
- Maintain and improve the decline strategy, rule creation and analysis of true positive rates (rules and model precision) to maintain a healthy operation by balancing friction and chargeback/fraud rates.
- Work on high value projects along with global teams, specially with BR market.
- Create value through the generation of insights, processes, conclusions and reports, based on deep dive data analysis.
- Work along with the analytics team to create an issuer fraud strategy (card transactions, transfers and Account takeover).

**You will be a great fit for this position if you**:

- Have advanced knowledge in GitHub, SQL and Python (specifically in pandas and web scraping/bots).
- Have interest in developing a business vision that allows to identify needs and solutions proactively and independently.
- Attention to detail to ensure the accuracy and reliability of data and automation processes
- Explain technical concepts to non-technical team members
- Being a highly motivated team player, hands-on, focused and striving to learn and improve your skills.
- Thrive in a constantly changing environment, proactive and enthusiastic.
- Have at least 2 years of experience working with data analysis/statistics, cleaning, transformation, modeling, reporting and optimizing/automating processes. Preferably, in the financial/payments industry.
- Enjoy building end-to-end solutions to existing and new problems with focus on the outcome: you will analyze, create models and scripts, present your recommendations to stakeholders and implement them in our operation.
- English level, at least intermediate - advance is desirable, able to have conversations, receive guidance, work in a foreign team and to explain and understand topics in their domain
- Are able to give feedback (Radical candor) and constantly seek feedback from your leader and peers.

**You will be an excellent fit for this position if you**:

- Have worked with Tableau or similar data visualization tools.
- Have worked with automated pipelines using Airflow
- Have developed data models using DBT
- Have worked with Cloud platforms like AWS, GCP, Microsoft Azure
- Experience in Analytics at Risk/Payments Industry

**Why you should work at SumUp**:

- You'll be part of a company that lives and breathes to empower sma

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