HyperFinity on cord

HyperFinity

Data Analyst

External position
Leeds, UK
Hiring internally for HyperFinity?
Analytics · Machine Learning and AI · Retail Technology
Decision intelligence for retail.
Posted
a month ago
Checked
cord regularly checks that external positions are still open
23 hours ago

Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Mid, Senior
Core skills considered: Python, SQL, Machine Learning, Big Data, Data Analysis
Other skills considered: Data Modeling, Agile, Git, 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 3 remote days p/w)
Visa sponsorship: Not available

Job Description

This role is initially aligned to a client operating in BigQuery, with the potential to support other client environments over time depending on delivery needs.

Client-based work; developing, testing and deploying data science models within our client's data environment to improve the effectiveness of their Customer Loyalty Program.

Developing prototypes and proof of concepts with rigorous testing approaches to inform further product developments.

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.

Working in an agile environment.

Help provide tactical and strategic support to unlock value for our client through data science.

Ensure good attention to detail with good QC / reconciliation processes in place.

Collaborate and support immediate team members where required including on client-related topics.


Requirements

You will combine strong technical foundations with pragmatic, stakeholder-focused delivery in varied client environments.

Technical competencies

  • Strong analytical and problem-framing skills; able to translate ambiguous business questions into measurable hypotheses and robust analyses/models (necessity).
  • Excellent Python and SQL coding skills (necessity).
  • Experience working with common Python data/ML libraries (e.g., scikit-learn, pandas, and related tooling) (necessity).
  • Experience using version control (e.g., Git) to manage and collaborate on code (necessity).
  • Experience working with Big Data and interrogating databases and cloud data platforms (e.g., BigQuery, Snowflake, Databricks) (desirable).
  • Experience implementing ML in cloud environments (designing scalable data/model workflows within client constraints) (desirable).

Professional competencies

  • Effective communication and listening skills to understand the requirements of the business and present clear recommendations to senior stakeholders (necessity).
  • Drive and the resilience to try new ideas if the first approach doesn't work; comfortable working with minimal supervision and maintaining momentum independently (necessity).
  • Planning, time management and organisational skills (necessity).
  • Strong teamwork and collaboration skills; a proactive approach to sharing ideas, aligning with colleagues, and finding solutions (necessity).
  • High attention to detail in analysis and data work (e.g., validating assumptions, checking data quality, and producing reproducible outputs) (necessity).

3+ years' experience working within data science; Retail/FMCG data preferable.

Hands-on experience in extracting and manipulating large data sets in cloud data platforms.

A self-starter, happy to learn new skills in a self-directed manner.

Able to quickly adapt to changing requirements as our business grows and expands.

Keen to work in a start-up environment, and energised by the prospect that the role will be much more varied than in a corporate environment.

Relevant Degree or equivalent practical experience in a quantitative or computational discipline, with strong foundations in statistics and programming.

Data Analyst at HyperFinity
Position posted a month 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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