Analytics Lead - Finance

About Us

We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fueling local economies, and changing how millions access financial services.

Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.

We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation
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Here’s a little more:

• Founded by Harvard grads and 3‑time founders who previously built Segovia (acquired) and Give Directly (>$300M revenue, fastest‑growing NGO in the world)

• Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more

• Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission

• Truly global team - 250+ people, 50+ nationalities, 50+ languages

• Guided by our values - ownership, impact, humility, and heart - in deed, not just word

We are looking for an insightful, proactive Analytics Lead - Finance to help us in our next phase of growth and maturity. If you’re excited about building first‑class analytics products that tackle thorny Finance and FX challenges in a fast‑moving cross‑border context, then this role is for you.

No challenge is too small -- or too large! You’ll report to our Head of Data, with significant exposure to our COO and teams across the company, including Finance, Treasury, Engineering, and Markets.

The role is full‑time and based in one of our hubs.

• Design and implement mission‑critical financial models in dbt – e.g. pricing optimisation, counter party exposure analysis, trading evaluation, and real‑time P&L attribution across our cross‑border payment flows

• Create operational intelligence that pre‑empt problems – dashboards, alerts, and tools that help Finance and Treasury spot risks early (e.g. FX anomalies, liquidity gaps, reconciliation issues) and make better decisions (e.g. capital allocation)

• Build our real‑time ledger engine – partnering with Treasury, Finance and Engineering to build the analytics models that track tens of millions of daily money movements

• Champion our analytics community – peer review code, share knowledge at weekly meetups, and help raise the bar across the team

• 5‑7+ years in an analytical role (e.g., fintech, startup, or professional services)

• Strong SQL skills and comfortable working with large, complex datasets

• Strong communication and stakeholder management skills,

• Experience building dashboards in tools like Looker or Mode

• Combine an eye for detail, with a pragmatic attitude to getting things done, and a ‘no task too small’ mentality

• The ability to work independently and balance priorities

• Experience with dbt, Python, and/or R

• Experience tackling analytical FX problems in a relevant context (e.g. cross‑border treasury or finance teams)

• Led fast‑paced, cross‑functional projects previously

Impact first

Team next

Accept reality

Propose solutions

Win with grit

Be proactively candid, with yourself and others

Love the particular

Own it

Create positive energy

Maybe, even have fun

Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.

If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.

Note:

we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.