Fitch Group on cord

Fitch Group

Head of Quant & Data Science

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

Skills & Experience

Job roles: Head of Data
Experience level: Lead, Leadership
Core skills considered: Data Architecture, Data Modeling, Data Pipelines, Data Warehousing
Other skills considered: Machine Learning, Python, SQL, Cloud Computing

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

Fitch Solutions operates four content and data businesses serving the world's largest enterprise clients across credit, fixed income and macroeconomic markets. The Head of Data Science and Quantitative Research is accountable for building and leading the quantitative capability that turns that content estate into analytic products: the models, the feature and data infrastructure that feed them, and the knowledge graph that connects entities, instruments and documents across every business unit.

This is a hybrid leadership role. The successful candidate will lead a small senior team of data scientists and quantitative developers while remaining hands on in model design, code review and client facing technical work. Reporting directly to the Chief Product Officer, the role sits at the centre of product strategy and is expected to shape what Fitch Solutions builds, not only how it is built.

The role has global reach. Models and infrastructure built by this team will underpin analytic, data and content products delivered to enterprise clients through API, MCP, feed and web channels.


How You'll Make an Impact:

Quantitative Strategy and Model Development

  • Set the quantitative agenda for Fitch Solutions: define which models, scores and analytics create commercial differentiation, and sequence their delivery.
  • Design, build and validate models across the fixed income estate, including credit risk and relative value analytics, spread and pricing models, private credit and business development company analytics, loan and bond level metrics, and portfolio level aggregation.
  • Own model methodology documentation, validation standards and performance monitoring, with an audit trail suitable for review by clients and internal risk functions.
  • Work with Head of Analytics to establish standards for reproducibility, back testing and version control so that model outputs published to clients can be explained and defended.

Data and Feature Infrastructure

  • Define and build the data infrastructure that supports quantitative work at scale: feature stores, time series stores, reference data alignment and the pipelines that keep them current.
  • Partner with the Head of Data Products and the Chief Data Office to ensure the unified taxonomy, metadata schema and entity model are fit for quantitative consumption.
  • Set the reference architecture for how analytic outputs are published back into products, ensuring consistency of structure, identifier and vintage regardless of originating business unit.
  • Hold the organisation accountable for the data quality that models depend on, with measurable inputs to the enterprise data quality framework.

Knowledge Graph Infrastructure

  • Own the design and delivery of the Fitch Solutions knowledge graph: the entity, instrument, issuer, fund and document relationships that connect content across business units.
  • Define the graph schema, ontology extensions and entity resolution logic that allow issuers, obligors, facilities and instruments to be linked reliably across internal and third party sources.
  • Build the retrieval layer that allows semantic search, retrieval augmented generation and agentic workflows to operate over the graph with accurate grounding and attribution.
  • Work with the Head of AI Products to ensure graph and vector infrastructure develop as a single coherent capability rather than parallel efforts.

Product and Commercial Delivery

  • Partner with Product Heads across the four business units to convert client problems into quantitative product features with defined success metrics.
  • Engage directly with enterprise clients, including asset managers, banks, insurers, private credit managers and corporates, on methodology, model performance and data integration.
  • Support commercial teams in technical evaluations, proofs of concept and renewal conversations where quantitative credibility is decisive.
  • Assess build against buy for third party analytics and vendor models, and make clear recommendations to the Chief Product Officer.

Team Leadership

  • Build and lead a team of three to five data scientists and quantitative developers, with scope to grow as the portfolio expands.
  • Set hiring standards, technical review practice and career development paths for quantitative staff in an organisation where the function is being established rather than inherited.
  • Establish working practices that allow a small team to serve four business units without becoming a bottleneck: shared libraries, documented interfaces and clear prioritisation.
  • Represent quantitative work to senior leadership and the wider Fitch Group technology community, translating technical trade offs into commercial language.

You May be a Good Fit if:

  • Substantial experience leading data science or quantitative research teams in financial markets, financial data, asset management, banking or a comparable analytics business.
  • Deep domain knowledge of fixed income products. Meaningful depth in private credit, business development companies, leveraged loans and corporate bonds is strongly preferred.
  • Demonstrable record of building production models consumed by external clients, not only internal research or one off analysis.
  • Hands on technical strength in Python and SQL, with working command of the modern data stack and of graph query languages such as SPARQL, Cypher or equivalent & strong knowledge of data surface infrastructures such as Snowflake/Databricks etc.
  • Practical experience designing knowledge graph, ontology or linked data infrastructure and the entity resolution logic that underpins it.
  • Understanding of fixed income identifier standards and their interoperability, including ISIN, CUSIP, SEDOL, LEI and vendor specific schemes, and experience working with major data providers such as Bloomberg, LSEG, FactSet or ICE Data Services.
  • Experience operating across organisational boundaries and influencing without direct authority across product, technology, data and research functions.
  • Ability to translate quantitative work into commercial outcomes that are legible to non technical stakeholders, including at executive and client level.
  • Comfort in a dynamic environment where priorities move, structures are still forming and progress depends on initiative rather than process.

What Would Make You Stand Out:

  • Experience with retrieval augmented generation and agentic architectures, and clear judgement on the data requirements they impose.
  • Exposure to private credit data challenges specifically: sparse disclosure, inconsistent reporting, valuation opacity and manager level idiosyncrasy.
  • Track record commercialising analytics, including pricing, packaging and client onboarding for quantitative products.
  • Familiarity with credit research workflows and how portfolio managers, analysts and risk teams consume analytic output.
  • Experience with cloud native machine learning platforms and with production monitoring of model performance and drift.
Head of Quant & Data Science at Fitch Group
Position posted 3 weeks 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
Alex Yeates on cord
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