Analytics Manager- Investments

London - UK

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Youll be joining the Grow Squad. We manage a complex multi-product portfolio including Current Accounts Savings Investments and Digital Assets.

As an Analyst in the Risk Controls and Operations Product team you will act as the data co-pilot for your team reporting directly to the squad lead.

Your mission is to uncover the insights that allow us to scale our investment product infrastructure ensuring that our trade execution and settlement payments are seamless as we scale from zero to millions of users.

There will be a combination of growing established processes where we optimize for marginal gains as well as launching new investment capabilities where your role will involve navigating ambiguity sizing operational capacity and ensuring our underlying settlement logic is healthy and sustainable.

What You Will Do

1. Drive Investment Operations Strategy

You will partner with Product Managers and Operations Leads to define the roadmap for trade and settlement efficiency
You will use data to answer critical questions: Where are trade breaks occurring most frequently Why is settlement time for specific assets longer than others How do liquidity provider constraints influence our operational timings

2. Build the Data Foundation for Operations

Since we are launching new investment products the data infrastructure for complex trade flows may not exist yet.
You will be responsible for defining tracking plans for trade lifecycles building dbt models for reconciliation and ensuring our data pipelines are robust from Day 1.
You will work with the operational risk team to set up the initial monitoring for settlement health liquidity breaks and payment failures in these markets.

3. Optimize Settlements & Liquidity

You will analyze the end-to-end trade funnel identifying friction points in order execution and settlement payments that drive up costs or delay availability for customers.

4. Technical Mentorship

You are a senior individual contributor. While you may not manage a large team immediately you will be expected to mentor junior analysts review code and set the standard for technical excellence in the operations domain.

Qualifications :

Technical Skills:

Data Stacks: You have expert-level SQL skills and are comfortable building and maintaining your own data pipelines (dbt Airflow Snowflake).
Python: You use Python for advanced analysis reconciliation automation or forecasting trade volumes.
Statistics: You have experience applying statistical tools (e.g. Bayesian statistics causal inference) to real-world product and operational problems.

Experience & Mindset:

Operations Experience: Growth in our products relies on the stability of the underlying settlement and execution layers.
Able to Navigate Ambiguity: You are comfortable working with limited data and high ambiguity.
Strategic Impact: You can point to specific decisions you influenced that changed a product roadmap reconciliation process or operational workflow.
Commercial Fluency: You understand the unit economics of a fintech product (LTV CAC Margin) and can balance growth targets with operational risk controls.

Communication:

You can tell a compelling story with data. You dont just dump numbers; you provide context explain why and recommend the so what

Additional Information :

For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what its like to work at Wise visit .

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

Employment Type :

Full-time

Youll be joining the Grow Squad. We manage a complex multi-product portfolio including Current Accounts Savings Investments and Digital Assets.As an Analyst in the Risk Controls and Operations Product team you will act as the data co-pilot for your team reporting directly to the squad lead.Your miss...

Youll be joining the Grow Squad. We manage a complex multi-product portfolio including Current Accounts Savings Investments and Digital Assets.

As an Analyst in the Risk Controls and Operations Product team you will act as the data co-pilot for your team reporting directly to the squad lead.

What You Will Do

1. Drive Investment Operations Strategy

You will partner with Product Managers and Operations Leads to define the roadmap for trade and settlement efficiency
You will use data to answer critical questions: Where are trade breaks occurring most frequently Why is settlement time for specific assets longer than others How do liquidity provider constraints influence our operational timings

2. Build the Data Foundation for Operations

Since we are launching new investment products the data infrastructure for complex trade flows may not exist yet.
You will be responsible for defining tracking plans for trade lifecycles building dbt models for reconciliation and ensuring our data pipelines are robust from Day 1.
You will work with the operational risk team to set up the initial monitoring for settlement health liquidity breaks and payment failures in these markets.

3. Optimize Settlements & Liquidity

You will analyze the end-to-end trade funnel identifying friction points in order execution and settlement payments that drive up costs or delay availability for customers.

4. Technical Mentorship

You are a senior individual contributor. While you may not manage a large team immediately you will be expected to mentor junior analysts review code and set the standard for technical excellence in the operations domain.

Qualifications :

Technical Skills:

Data Stacks: You have expert-level SQL skills and are comfortable building and maintaining your own data pipelines (dbt Airflow Snowflake).
Python: You use Python for advanced analysis reconciliation automation or forecasting trade volumes.
Statistics: You have experience applying statistical tools (e.g. Bayesian statistics causal inference) to real-world product and operational problems.

Experience & Mindset:

Operations Experience: Growth in our products relies on the stability of the underlying settlement and execution layers.
Able to Navigate Ambiguity: You are comfortable working with limited data and high ambiguity.
Strategic Impact: You can point to specific decisions you influenced that changed a product roadmap reconciliation process or operational workflow.
Commercial Fluency: You understand the unit economics of a fintech product (LTV CAC Margin) and can balance growth targets with operational risk controls.

Communication:

You can tell a compelling story with data. You dont just dump numbers; you provide context explain why and recommend the so what

Additional Information :

For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

If you want to find out more about what its like to work at Wise visit .

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

Employment Type :

Full-time

Key Skills

Adobe Analytics
Data Analytics
SQL
Attribution Modeling
Power BI
R
Regression Analysis
Data Visualization
Tableau
Data Mining
SAS
Analytics

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About Company

Wise

Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cro ... View more

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