Senior Risk Analyst

Signifyd; Brasil; Teletrabalho; BRL 463.000 - 573.000; Tempo integral

Resumo da oferta

A leading fraud prevention company in Brazil is seeking a Sr. Risk Analyst to join their Risk Intelligence organization. This role involves conducting risk analysis on large datasets, developing fraud prevention strategies, and collaborating with machine learning teams. The ideal candidate has over 5 years of experience in the e-commerce or payments industry and possesses strong analytical skills. The company offers competitive pay and benefits including discretionary time off and flexible working arrangements.

Serviços

Unlimited Time Off

401K Match

Stock Options

Health Insurance

Flexible Spending Account (FSA)

Qualificações

• 5+ years experience in e-commerce, payments, or risk-related industry.
• Strong understanding of ecommerce payments landscape.
• Experience with database language (e.g., SQL) as well as BI tools.

Responsabilidades

• Conduct proactive risk analysis on large datasets to identify trends.
• Lead the development and implementation of new fraud prevention strategies.
• Build lasting relationships with internal teams and external partners.

Conhecimentos

E-commerce experience

Strong analytical skills

SQL knowledge

Communication skills

Ferramentas

Looker

Tableau

Splunk

Descrição da oferta de emprego

The Risk Intelligence organization at Signifyd is responsible for proactively detecting and continuously monitoring fraud activities to mitigate immediate financial losses and protect portfolio health. This team partners closely with Data Science to improve machine learning (ML) model performance by providing continuous feedback on model outputs and identifying areas for enhancement using real-world fraud patterns and merchant feedback. We enhance detection mechanisms to reduce friction for merchants and their customers while driving revenue. We build trust through responsiveness and expertise, fostering stronger merchant relationships. We demonstrate the value of fraud prevention solutions in driving revenue growth and reducing losses.

As the Sr. Risk Analyst, you will join a team of talented and dedicated fraud experts who play a pivotal role in fighting fraud, helping our customers succeed and that sit at the intersection of all of Signifyd\'s data, technology, processes, and business contracts. Your work will make a big impact in advancing payment risk decisioning to the next level. The right candidate is an experienced fraud fighter with a love for learning, problem solving, and not afraid of a challenge. They enjoy being part of a close knit team and working on multiple projects simultaneously without compromising quality.

Our work involves quantifying and controlling the risks introduced by bad actors, turning unpredictability into manageable outcomes.

Here’s more of what you will get to do:

• Risk Analysis & Solutioning: Conduct proactive risk analysis on large datasets to identify and extrapolate fraud trends, proposing refined and effective solutions.
• Fraud Strategy Development: Identify fraud trends, document findings, communicate insights, and lead the development and implementation of new fraud prevention strategies.
• Operational Improvement: Support Risk Operations through identifying and implementing process and tool improvements.
• Merchant Engagement: Lead fraud and tool insights conversations with potential and existing merchants to assist internal teams.
• Machine Learning Collaboration: Identify ideas for new Machine Learning features or rules, collaborating closely with other teams to improve model performance.
• Actionable Insights & Reporting: Translate analysis into actionable insights for fraud mitigation initiatives, ad-hoc reports, and presentations.
• Project & Ad-Hoc Support: Assist in special projects and ad-hoc assignments as requested.
• Relationship Management: Build lasting relationships across internal teams and with our external partners, fostering a collaborative environment.
• Ownership: Expected to take ownership of your tasks and work independently to achieve objectives within a remote environment

Required skills that will allow you to thrive in this role:

• 5+ years experience in e-commerce, payments or risk-related industry with either traditional and non-traditional payment methods.
• Strong understanding of ecommerce payments landscape
• Strong analytical skills and an understanding of how to utilize data to target improvements and solve problems
• Experience with database language (e.g., SQL) as well as BI and reporting tools (Looker, Tableau, Splunk, etc.)
• Strong critical thinking skills with advanced judgment capability
• Ability to manage multiple assignments while working independently
• Strong communication skills with internal and external stakeholders
• Flexibility to work weekends and holidays

Desirable Skills:

• Experience in large scale data analysis, tools, and processes. (e.g. Python, R)
• Experience with translating fraud trends into rule logic and/or feature suggestions

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during thehiringprocess.

Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, abilities, and location, as well as internal equity and alignment with market data.

USA Base Salary Pay Range $85,000 — $105,000 USD

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