Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 7 hours ago

Quantitative Specialist

White Swan Data15 open roles

Pay
$160,000 – $180,000 a year
Where
New York
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowQuantitative SpecialistWhite Swan Data · New York

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on White Swan Data's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 7 hours ago

The posting

About White Swan Data

Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones.

Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board.

As a startup, we offer a dynamic and entrepreneurial environment where you’ll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry.

Our expansion into the United States

White Swan Data is entering an exciting new phase of growth as we prepare to establish our first office in the United States.

As our work and relationships within the US market continue to grow, we are planning to establish our first US office, expected to be located in New York City. This will be a significant milestone for the business and an opportunity to build a new team from the ground up, working closely with our existing UK-based operation.

We are currently building our plans for the US operation and are beginning to speak with talented individuals who could play an important role in establishing and growing our presence in the market. As this is a new operation, the exact timing and details of the launch are still being finalised.

If you are excited by the opportunity to join a growing business and have an interest in being part of our US expansion, we would be very interested in hearing from you.

About the Role

We have an opportunity for an experienced Quantitative Specialist to join a fast-developing area of our business. This role will be joining a small and dynamic team developing a cutting-edge trading systems.

These trading systems entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; and performance analysis through back-testing and simulations.

This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success.

Key Responsibilities

  • Acquire data from multiple data sources, filtering, cleaning and wrapping.
  • Interpret data, analyse results using statistical techniques, and provide reports.
  • Identify, analyse, and interpret trends or patterns in complex data sets.
  • Work within the team to prioritise business and information needs.
  • Identify process improvement opportunities.
  • Design, build, test and deliver data processing and automation software.

Skills, Knowledge and Expertise

Must haves:

  • A masters in mathematics, statistics, computer science, engineering or another quantitative discipline.
  • 1-2 years of professional experience in a quantitative role.
  • Adept using analytical programming languages such as; R, Python, C++, etc.

Nice to have:

  • Statistical modelling and skills in data analytics.
  • Strong attention to detail and ability to retain information.
  • Strong communication and collaboration skills.
  • Positive ‘can do’ attitude, and ability to meet deadlines.
  • Willingness to learn and adapt to new environments.
  • Experience in the financial, betting, or gaming industries.

Benefits

  • Salary depending on experience.
  • Annual discretionary performance bonus.
  • 25 days holiday per annum.
  • Pension plan.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against White Swan Data's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on White Swan Data's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    White Swan Data's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.