Position: Trust and Safety Analyst / Fraud Data Analyst
Company: Sift
Category: Data Analyst
Experience required: 5y
English level: fluent
Published: 2023-07-01T00:00:00+03:00

**About the Team:**
We’re people that are passionate about making the Internet a safer and more trusted place for all. We love the trust and safety space and want to teach companies how they can protect themselves, and their users and create frictionless experiences for legitimate consumers. As a Trust and Safety Analyst, you are heavily experienced in multiple types of online abuse and trust and safety issues. You’ve helped build teams, tools, policies, and procedures at companies that have had to work through these threats at a global level. 

**What you’ll do:**
- Identify potential fraud rings and abuse vectors in the Sift ecosystem;
- Optimize Sift performance and value for our clients;
- Provide Sift system recommendations on how clients can prevent more fraud, increase acceptance rates and improve other KPIs; 
- Be on top of the rapidly evolving landscape of fraud and trust and safety;
- Work with prospects, partners, and customers around developing industry best practices and strategies;
- Educate internal teams on all things risk and trust and safety related;
- Help develop engaging trust and safety-focused content for the Sift community;
- Deeply understand our customers, and do what it takes to help them grow with a trust and safety mindset;
- Work closely with Sales, Marketing, Customer Success and Product teams by infusing the customer voice into all the things that we do 
Nurture a trust and safety-focused community.

**What would make you a strong fit:**
- **5-10 years experience** working as an individual contributor working on multiple abuse types (eg: financial fraud, chargebacks, ATO, spam, content moderation, fake accounts, compliance, bot attacks, etc);
- Excellent cross-functional interpersonal skills and strong communication skills;
- Ability to connect with and teach various business personas  
Strong data querying and analytical skills a plus: (Python, SQL, Hadoop, Looker, Spark, Scripts, Snowflake, and Tableau);
- CFE is nice to have, not required; The Association of Certified Fraud Examiners (ACFE).

**Benefits and Perks:**
- A compensation package that consists of financial compensation, a biannual 5% bonus, and stock options;
- Medical, dental, and vision coverage;
- 50$ for sports and wellness;
- Education reimbursement: books, education courses, conferences;
- Flexible time off: we follow an unlimited vacation approach;
- Tuned work schedule to Ukraine timezone despite US offices location: biweekly demo sessions are optional for our team and we watch them from recording;
- Mental Health Days: additional day-offs;
- English courses and social activities inside the company that allow improving your public speaking and language.

**Let’s Build It Together:**
At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community – ultimately using this empowerment and authenticity to build trust and create a safer Internet.

This document provides transparency around the way in which Sift handles the personal data of job applicants: https://sift.com/recruitment-privacy