Fitch Group on cord

Fitch Group

Director, Knowledge Graph and Entity Infrastructure

External position
London, UK
Hiring internally for Fitch Group?
Finance · Data
A global leader in financial information services
Posted
a week ago
Checked
cord regularly checks that external positions are still open
12 hours ago

Skills & Experience

Job roles: Head of Data
Experience level: Lead, Leadership
Core skills considered: Artificial Intelligence, Data Architecture, Data Modeling, Data Pipelines
Other skills considered: Python, SQL, GraphQL, Machine Learning

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

You will lead the design and initial implementation of connected data and knowledge graph capabilities that make analytics easier to discover, combine and apply. Starting with a real product problem, you will work with subject experts to model the relevant concepts and relationships, write the code and queries, and put a working solution in users' hands. You will partner with engineering teams to make useful solutions durable and scalable. The model should be clear enough to extend, and it should evolve as real use cases reveal what is needed.


Research Content and AI

  • Partner with research and content teams on tagging and enrichment that connects documents, topics, entities, events and analytical capabilities. Help make authored research easier to discover and reuse while preserving its source and context.
  • Contribute the semantic and graph modeling expertise needed for new product initiatives, which aim to connect intelligence across Fitch Ratings, BMI, Sustainable Fitch and CreditSights. Align definitions and interfaces with the wider program as its scope develops.
  • Work with AI teams to evaluate where connected context improves retrieval, grounded answers or other product workflows. Design for traceable sources and assess answer quality against real questions.

Connected Analytics and Risk

  • Translate the unified analytics framework into a practical semantic model. Define analytical domains, subjects, lenses, capabilities, methods, inputs, outputs and the relationships among them so teams can understand and reuse work across products.
  • Model the connections that can explain risk pathways, such as how a country or industry development may relate to companies, exposures and credit outcomes. Make the meaning, timing, source and limits of each relationship explicit.
  • Work with data scientists to test whether graph relationships, features or algorithms improve a priority model or analytic use case. Compare the result with a simpler baseline and retain what proves useful.

Implementation and Partnership

  • Embed in selected initiatives and personally build initial graph models, data mappings, queries and working implementations. With engineering and Core platform teams, develop the ingestion, validation and interfaces needed to make successful solutions reliable.
  • Use shared entity and identifier services as they mature. When a use case exposes a genuine linking problem, work with the teams that own entity resolution to define requirements and test an appropriately simple solution.
  • Establish reusable modeling patterns, examples and quality measures for relationships, provenance, temporal context and coverage. Teach partner teams to use and extend the capability, and help shape a larger specialist team if demand supports it.

You First Year:

  • A working implementation for one priority analytics or risk question, using real data and a model validated with domain experts and prospective users.
  • A test of at least one adjacent use case, such as graph-derived features for a model or connected research for source-backed AI, measured against a simpler approach.
  • Reusable patterns, working examples and a practical adoption plan so future squads can apply what proves useful, with clear responsibilities across the Data Science Engine, Core platform and content teams.

You May be a Good Fit if:

  • You have built a knowledge graph or another connected data application for analytics, content or AI, and can take an idea from domain conversations to a working implementation.
  • You are a hands-on builder with Python and SQL who can own data mappings, graph queries, tests and the first usable version of a solution.
  • You can model real-world relationships with appropriate attention to identity, time, provenance and validation, adding detail as the use case requires it.
  • You have experience with a graph database or query language, or closely related semantic tooling. Familiarity with Cypher, SPARQL, RDF or property graphs is valuable; no single stack is required.
  • You can work with analysts, product managers, data scientists and engineers to define an ambiguous problem, make practical tradeoffs and deliver something other teams can use.

What Would Make You Stand Out:

  • Knowledge of credit, financial markets, industry or country risk data, or experience making complex research content usable as structured information.
  • Experience applying graph-derived features to modeling, or connected retrieval to source-backed AI applications.
  • Experience with content enrichment, taxonomy design, temporal data, provenance or linked data standards across multiple teams or source systems.
Director, Knowledge Graph and Entity Infrastructure at Fitch Group
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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