AI-Native Business Analyst

Oper Credits BV; Antwerpen; Sur place; Confidentiel; Plein temps

Avantages offerts par ce poste

Competitive salary

Stock options

Mental health day

Résumé du poste

Oper is seeking an AI-Native Business Analyst to join the Customer Success team in Belgium. You will bridge customer needs and Oper deliveries, running discovery workshops, mapping requirements to the product, and guiding integrations with banking stacks.

Based in Antwerp, you will configure workflows, lead training, and stay close to customers through go-live, applying AI-native methods to accelerate analysis and documentation. Fluency in English is required.

Qualifications

• 2–3 years of consulting experience (Big-4, boutique strategy/tech, or implementation consulting).
• Love structuring problems: messy customer conversations become clean documents, frameworks, and next steps.
• Enjoy customer and end-user interaction: workshops energize you.
• Technical affinity: comfortable reading API docs, understanding integration patterns, configuring software.
• AI-native: can name tools, workflows, and examples where AI added leverage.
• Experience with enterprise SaaS implementations, integrations, or workflow configuration.

Responsabilités

• Capture and structure customer requirements by bridging what the customer wants and what Oper delivers.
• Analyze integration points with core banking systems, CRMs, and online banking platforms.
• Configure mortgage products, business rules, and customer journeys inside the Oper platform; validate configurations.
• Lead training sessions for end users and customer champions; stay connected through go-live.

Connaissances

Consulting experience

Problem structuring

Customer interaction

API literacy

AI-native mindset

SaaS experience

Description du poste

About Oper

Oper, a European Fintech company, is a leader in cloud-based digital mortgage software. We provide personalized journeys for borrowers and lenders. Oper's technology streamlines the mortgage application process, eliminates paperwork, and increases transparency.

The fastest growing part of our business is Herman, our AI agent for mortgage origination. Herman reads documents, checks them, and works a credit file the way an analyst would, inside the regulated workflow of a real bank. It runs on sovereign EU infrastructure, because our clients cannot send mortgage data anywhere else. Phase by phase, it automates more of the origination process: first employed borrowers, then the self-employed, and onward. This is not a chatbot bolted onto old software. It is agentic software doing real work in a regulated environment.

A passionate and engaging team of around 30 stellar Fintech operators works vigorously to transform European mortgages by enhancing efficiency and alleviating borrower anxiety. Backed by Bessemer Venture Partners and Motive Ventures, we have raised EUR 14 million, placing Oper at the forefront of revolutionizing mortgages in Europe. Oper currently has offices in Zürich, Switzerland, and Antwerp, Belgium.

Your Mission

We are looking for an AI-Native Business Analyst to join our Customer Success team.

You will work with one of our biggest clients owning the delivery work that turns their business needs into a configured, live Oper platform. As we continue to grow, you will expand into a broader portfolio of lenders, becoming the trusted delivery partner who guides them from kickoff to value.

This is a role for someone who genuinely enjoys structuring messy problems, sitting in a workshop with bankers and product owners, and translating what they hear into something concrete the engineering team can build and the customer can run. It is also a role for someone who is AI-native, who uses modern AI tooling as a core part of how they think, write, and ship.

Tasks

Capture and structure customer requirements

You will be the bridge between what the customer wants and what Oper delivers.

• Run discovery workshops with business and IT stakeholders at our customers
• Capture functional and business requirements in clear, well-structured documentation
• Map requirements to Oper's product: identify what works out-of-the-box, what needs configuration, and what genuinely needs engineering
• Translate business needs into user stories and functional specifications the squad can act on
• Manage stakeholder expectations throughout the project lifecycle

Analyze integration points

Our customers run on complex banking stacks. You will figure out how Oper plugs in cleanly.

• Review technical API documentation from core banking systems, CRMs, and online banking platforms
• Work with Oper engineering to identify and define integration points
• Document data flows, contracts, and edge cases so nothing surprises us at go-live
• Make smart, pragmatic recommendations on what to integrate now vs. later

Configure workflows and deliver value

You will own the hands-on configuration work that makes Oper work for each customer.

• Configure mortgage products, business rules, and customer journeys inside the Oper platform
• Validate that configurations match the agreed scope and pass acceptance testing
• Lead training sessions for end users and customer champions
• Stay close to the customer through go-live and early adoption, then hand over cleanly to the Customer Success team

Work AI-native

We expect you to use modern AI tooling as a real lever, not a curiosity.

• Use AI tools to scaffold documentation, draft specs, summarize workshops, and accelerate analysis, automate processes,…
• Identify where AI compounds your work and where it does not, and design your workflow accordingly
• Help us push the bar on what an AI-native delivery function looks like at Oper

Requirements

We are looking for someone with a consulting background who is ready to go deep on a product and an industry, and who loves technology:

• 2 to 3 years of experience in consulting (Big-4, boutique strategy/tech, or implementation consulting).
• You love structuring problems: messy customer conversations come out of your hands as clean documents, frameworks, and next steps
• You genuinely enjoy customer and end-user interaction: workshops energize you rather than drain you
• Technical affinity: you are comfortable reading API documentation, understanding integration patterns, and configuring software. You do not need to code, but you should not be afraid of anything technical either.
• AI-native: you can name the tools, the workflows, and the concrete recent examples where AI gave you real leverage. You see AI as a default part of how you work.
• Action-oriented, with a knack for getting things done in ambiguous situations
• Comfortable in a fast-growing, evolving SaaS environment

Languages

• Fluent in English (required)

Bonus qualities

• Familiarity with the European mortgage market or financial services more broadly
• Experience with enterprise SaaS implementations, integrations, or workflow configuration
• Experience working with banks or lenders as clients

Location & Setup

• Belgium-based candidates: hybrid setup with 2 to 3 days per week in our Antwerp office
• Working in CET hours
• Reporting to the Head of Customer Success (Co-Founder)
• Close collaboration with the Customer Success, Product, and Engineering teams

Benefits

As a fast-growing fintech, we're building a team where you can truly make an impact. We offer:

• Competitive annual salary, depending on experience
• Employee stock options
• 25 vacation days per year + 1 paid mental health day
• Dynamic international team with 12 nationalities
• Supportive, inclusive, and collaborative culture
• Learning & Development budget with dedicated time for growth
• Structured onboarding with a dedicated mentor
• Travel budget to collaborate with teams in Antwerp
• Annual company-wide Team G2G in an inspiring location
• Extra-legal benefits depending on your location
• Full support with local administration
• Health insurance and pension scheme
• Flexible working hours
• All equipment needed to do your best work

Inclusive at Our Core

Oper is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applications are considered without regard to race, religion, gender, gender identity, sexual orientation, disability, age, or any other protected status.