# Senior Manager, Risk Analytics

**Company:** [Upstart](https://hotfix.jobs/companies/upstart)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $172K-$238K
**Experience:** 7+ years
**Skills:** SQL, Python, Looker, Mode, ETL, Data Modeling, Kri, GRC, Data Pipelines, Dashboards
**Posted:** 2026-04-27

> Leads the development of risk data pipelines, models, and Key Risk Indicators (KRIs) for enterprise risk monitoring and reporting. Requires 7+ years in risk analytics, expertise in SQL/Python/ETL, and experience with BI tools like Looker/Mode in financial services.

## Job Description

## How you’ll make an impact
- Understand how data is produced and consumed at a deep level in order to design risk data pipelines and models and build curated data sets to support enterprise-wide risk monitoring and reporting
- Own and manage the **KRI program**, collaborating with first-line risk owners and second-line risk domain SMEs to design, track, and report on risk metrics across all risk types and business activities
- Build and maintain risk reporting infrastructure, including dynamic dashboards, snapshot reporting, and risk data infrastructure and aggregation capabilities using existing company data sets and tools (e.g., **Looker**, **Jira**, **Mode**)
- Meet consumers of risk data where they are by wearing an educator’s hat and training them on risk dashboards and tools
- Provide data and analytical support for enterprise risk assessments, management and board reporting, exam and audit requests, and ad hoc risk data requests
- Partner with leaders in Risk to translate risk program requirements into scalable, repeatable data and reporting solutions
- Support the setup, maintenance, and administration of the **GRC tool** for all Risk teams by defining cross-team

## Minimum Qualifications
- Bachelor's degree or equivalent practical experience
- **7+ years** of experience in risk analytics, or a related quantitative function in a banking or financial services environment
- Strong understanding of **data modeling** concepts in both transactional and analytical databases
- Demonstrated experience with risk data aggregation, **KRI** design and monitoring, or risk reporting infrastructure
- Expertise in **SQL**, **Python** and **ETL** optimization techniques; as well as data tools such as **Looker**, **Mode**, or comparable BI/analytics platforms

## Preferred Qualifications
- Experience in a bank or **OCC-regulated** institution, particularly building risk monitoring programs in advance of regulatory examination
- Familiarity with **OCC** or **Federal Reserve** expectations for enterprise risk reporting and **KRI** frameworks
- Knowledge of quantitative risk measurement techniques such as **scenario analysis** or risk scoring methodologies
- Experience building automated **data pipelines** or dashboards for regulatory or executive reporting
- Experience implementing or managing a bank-grade **GRC tool**
- Strong **project management** skills with a track record of independently driving programs from design to implementation

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