Risk Data Analyst

Join our Risk Data Team in Oslo!
Do you enjoy turning complex data into something people can trust and act on? As a Risk Data Analyst, you’ll be the link between business needs and data delivery—making sure risk data used in models and regulatory reporting is accurate, traceable, and audit-ready. You’ll also be part of our journey moving from on‑prem SQL Server to AWS (S3/Iceberg + Spark/EMR Serverless), helping shape how we build and validate risk data going forward.

If you thrive on detail, like solving messy problems, and enjoy bridging technical and business worlds—we’d like to hear from you.

What this role is about

The Risk Data team owns the data repositories used for risk models and regulatory reporting. This role is for someone who enjoys being the link between business stakeholders and data delivery teams—turning requirements into build‑ready specifications, and making sure every release is accurate, traceable, and audit‑ready.

We’re also moving part of our data warehouse from on‑prem SQL Server to AWS (S3/Iceberg + Spark/EMR Serverless). You’ll be part of that journey, with a strong focus on data quality and controls.

Key responsibilities

Requirements intake & scoping: clarify the change request, purpose, success criteria, and what “done” looks like

Business process understanding: learn how risk processes (credit lifecycle, collections/recoveries, impairment/provisioning, regulatory capital) translate into data and controls

Business analysis & rule definition: drive structured discussions, remove ambiguity, capture edge cases, define acceptance criteria

Write build‑ready specs: source‑to‑target mapping, keys/joins, transformation rules, defaults; use (pseudo‑) SQL where it helps

Impact analysis / lineage thinking: assess downstream impacts and propose safe rollout/fallback options

Data quality controls: define validations, reconciliations, and data‑quality KPIs; design UAT scenarios and capture audit evidence

Documentation & traceability: maintain data dictionary, business definitions, variable catalogue, lineage, and change log

Incidents & root cause: triage issues, identify root cause, specify fixes and preventive controls, track to closure

Release cadence: contribute to a monthly delivery cycle (plus urgent fixes when needed)

Required skills / must‑haves

Strong SQL (required): complex joins, CTEs, window functions, and debugging transformation logic

Comfortable translating business/regulatory needs into clear technical requirements and test cases

Able to communicate well with both technical and non‑technical stakeholders

Solid written/spoken English

Detail‑oriented: you care about definitions, evidence, and “what changes what” (traceability)

Skills and personal traits required to succeed

Comfortable working independently and in teams, switching between leading and supporting when needed

Strong problem‑solving skills and good judgement under time pressure

Curious, with attention to detail, and you take pride in delivering high‑quality work

Organized and structured—able to execute on plans and tasks and keep documentation/evidence in order

Flexible and service‑oriented in terms of going the extra mile when required

Nice‑to‑haves / beneficial

Python (useful for validation, reconciliation, automation)

Familiarity with data warehousing and data modelling concepts (dimensional modelling, keys, grain, etc.)

Exposure to IFRS 9, Basel, and/or IRB topics

Interest in modern tooling, including AI‑assisted workflows—using tools to move faster without compromising controls or auditability

Familiarity with SAS (used in parts of the environment)

Tech environment (current + evolving)

On‑prem: SQL Server / T‑SQL

AWS (migration ongoing): S3 + Iceberg, EMR Serverless / Spark

Additional tooling used across teams: SAS, Python; PySpark expected to become more relevant

Experience & education

Bachelor’s or Master’s in a relevant field (technology, statistics, mathematics, finance, etc.)

1–4 years in data‑heavy roles; experience with risk data, rule engines, and/or database management is valued

Practical information

Position type: Full‑time

Location: Oslo

Working model: Hybrid (typically 3 days/week in the office)

Work permit: Applicants must have a valid work permit in Norway

Interested?

Submit your application as soon as possible and no later than March 15, 2026.

If you have questions or want more information about this position, feel free to contact: Myurathan Kajendran, Risk Data Leader, Email: myurathan.kajendran@gruposantander.com or mobile: +4745031079

We perform background checks on all relevant candidates. For positions that require authorization and/or confirmation of suitability, a police certificate of good conduct and credit check must be presented. Background checks are carried out with prior consent from the candidate.