Python Job: 2023 Analytics Rotation Programme

Remitly is on a mission to transform the lives of immigrants and their families by providing the most trusted financial products and services on the planet. Since 2011, we have been tirelessly delivering on our promises to immigrants sending their hard earned money home. We are proud to have served millions of customers globally. We strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 2,200 employees across 8 offices who are growing their careers while having a positive impact on people globally.

The Role:

Remitly's Analytics teams are at the core of our business, using data and insights to drive improvements across the end-to-end customer experience.

We are setting up an analytics rotation programme within the London office. This is a structured one-year programme which gives the opportunity to rotate around four analytics areas (Product, Business, Marketing, and Pricing analytics). In each area, you will be guided and mentored by an experienced Remitly analyst, and at the end of the year you have the opportunity to move into one of these four areas. Full training and support will be provided through the programme. Previous analytics experience is valued but not necessary.

The year-long programme will begin in March/April 2023 based in our London office. Applications will close on 14th January with interviews beginning in late-January.

You Will

Gain wide experience in analytics within a fast-growth FinTech, spending three months in each of Product, Business, Marketing, and Pricing analytics. You will build a significant understand of the end-to-end Remitly experience across customer onboarding, retention, and pricing

Examples of the each of the teams' tasks are listed below:

• Pricing: This team sets prices for all of Remitly's corridors, using econometrics and to understand our customer behaviour in different markets and find the price structures that best resonate with our different segments.
• Product: This team helps make our product better for our customers in multiple ways, such as designing and reading tests to help more customers send transactions, finding more efficient ways for our customers to verify who they say they are, and managing fraud losses from bad actors without causing undue burden on our good customers.
• Business: This team analyses customer behaviour in each of our markets to identify ways to improve our services across the business.
• Marketing: This team analysis and helps plan marketing activity across different channels to deliver the most effective marketing investment returns.

You Have

• A Bachelor's degree in a quantitative field, ideally with a statistics background
• Some experience with technical skills (e.g., SQL, R, Python) and data visualisation tools (e.g., Tableau, Looker, PowerBI) is preferred but not required

Our Benefits:

• Unlimited paid time off, subject to approval
• Great compensation package
• Health insurance
• Commuter benefit
• Learn and development benefits (3000+ free online courses available)
• Corridor Travel Benefit Reimbursement

Remitly is an Equal Opportunity Employer. Equal employment opportunity has been, and will continue to be, a fundamental principle at Remitly. We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.