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Longshot Systems on cord

Longshot Systems

Sports Betting Trading Analyst

70 Gray's Inn Rd, London, UK
Software Development
At Longshot Systems we're building advanced platforms for sports betting analytics and trading.
Active
11 hours ago
Responds to
100% of requests
Responds in
6h 33m
Requests
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Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Senior
Tech stack/tooling used: Python
Core skills considered: Data Analysis, Python

Logistics

Base salary: £75K - £95K
Employment type: Permanent
Remote working: Hybrid (up to 4 remote days p/w)
Visa sponsorship: Not available

Job Description

At Longshot Systems we build advanced platforms for sports betting analytics and trading.

We're looking for a Sports Betting Trading Analyst to come and join our modelling team where you will be one of our sports & betting market experts. You'd be joining a small team and working closely alongside software engineers and machine learning experts to provide the domain expert insight in improving the trading strategies we develop for our clients. Your role is to identify trading strategy improvements and value leaks in existing and new strategies through a combination of watching our client's trading activity from our internal tools, data analysis on historical trading and intuition from your sport and betting market knowledge.

You should have a deep interest in sports and sports betting, especially from the professional sports bettor perspective. Ideally you have strong working knowledge of betting exchanges, prediction markets, sharp bookmakers (including the US and Asian markets) and general betting market dynamics. You're a general sports fanatic and enjoy following a wide variety of sports, especially thinking about them from a sports betting angle. You're comfortable with Jupyter notebooks and data analysis in Python. You're numerate and good with numbers, ideally with a degree of core statistical knowledge and understanding.

We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. This role especially benefits from working during sporting events, although ultimately it's up to you to decide what's the most valuable use of time and we have excellent tools to re-look at games in normal hours.

Responsibilities

  • Analyse our existing automated sports betting strategies and identify potential improvements in them
  • Collaborate with software developers and machine learning experts to optimise and enhance trading algorithms
  • Work with the team to develop brand new trading strategies on new markets and new sports
  • Perform data analysis on historical trading to back up your qualitative analysis
  • Conduct ongoing research on the sports betting markets

Requirements

Required:

  • Strong knowledge of sports betting markets across a variety of different sports
  • A strong intuition for spotting bad trading decisions and identifying ways to improve them
  • Intermediate to advanced proficiency in data analysis in Python
  • Excellent problem-solving skills and ability to work with large datasets
  • Strong communication in a predominately remote environment, especially written communication
  • Excellent teamwork skills, with the ability to collaborate effectively with software developers and machine learning experts

Desired:

  • Previous experience in professional sports betting
  • Advanced data science experience
  • Experience with quantitative analysis and statistical modelling
  • Familiarity with low latency and high throughput trading environments
  • An interest in working with the engineers and researchers to implement your improvement ideas directly

Benefits

  • Competitive bonus scheme
  • 10% matched pension contributions
  • Private healthcare insurance
  • Long term illness insurance
  • Gym membership

Company Benefits

  • Participation in the uncapped company bonus scheme, typically 20-30% of salary depending on experience
  • 10% matched pension contributions
  • Private healthcare insurance
  • Long term illness insurance
  • Gym membership
  • Choose your own hardware & setup for your development environment

Interview Process

Interview Process

  1. Intro call (30 mins) - your background + interests
  2. 1st Technical interview (90 mins) - a deeper dive into your experience
  3. Full assessment day (10:00–6pm) - a one day on-site where you’ll analyse some data we provide for you using Python to generate useful insights.

Skills of candidates in conversation

Machine Learning
Python
Power BI
SQL
Data Analysis
David on cord
Head of Talent
Active 11 hours ago
David on cord
Sports Betting Trading Analyst at Longshot Systems
Message David  ·  Typically responds within hours

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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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