US
0 suggestions are available, use up and down arrow to navigate them
Operations Analyst - London London, E...

Apply to this job.

Think you're the perfect candidate?

Operations Analyst - London London, England, United Kingdom

Tbwa Chiat/Day Inc New York, NY (Onsite) Full-Time

XTX Markets is an algorithmic trading firm that actively trades tens of thousands of instruments on over eighty venues with a daily volume of almost three hundred billion USD. We partner with counterparties, exchanges, and e-trading venues globally to provide consistent liquidity in the Equity, FX, Fixed Income, Commodity & Options markets, helping market participants throughout the world obtain the best prices in the various assets classes we cover.

We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximise the effectiveness of our proprietary trading algorithms. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. We are actively seeking new methods and ideas.

At XTX Markets technology is our business and we are a diverse organisation which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role

An operations role at XTX will provide exposure across all areas of the business. You will be given the opportunity to take ownership over processes early on. With the guidance of the team, candidates will improve and develop new processes using a range of technical skills such as Go and SQL. Resolving a broad set of daily issues will mean regularly interacting with other teams and external counterparties.

Our ethos is to develop robust, scalable solutions that improve the efficiency of the team and accuracy of our data. This is an opportunity to take part in the growth of a company where decisions make a difference. The impact of operations is far beyond what you usually see within large institutions.

XTX are looking for technically minded candidates with enthusiasm and initiative. The role is an opportunity to contribute to a small team with new ideas and make a real and positive impact to the team itself, as well as the firm.

The team has presence in London, Singapore, New York, and Paris. This role is for London. We work in the office 4 days a week, 1 day from home.

Responsibilities

  • Trade support, including daily reconciliations of cash, positions, and trading activity.
  • Liaising with counterparties and exchanges on daily issues.
  • Build and maintain automated processes.
  • Work with the technology team to develop new tools and applications.
  • Managing cash/collateral across multiple brokers and clearing houses.
  • Production of various reports (including P&L, risk, treasury).
  • Live risk monitoring and escalation.
  • Regulatory reporting monitoring.
  • Participating in the on-call rota of the Operations team.
  • Onboarding new exchanges, counterparties, brokers, or products around the world as the business expands.
  • Opportunities to gain exposure to various assets classes across the entire trade life cycle.
  • Ad-hoc trade executions.
  • Ad-hoc data analysis and report generation.

Minimum Requirements

  • Bachelor’s or master’s degree (minimum 2:1) in Mathematics, Engineering or Computer Science.
  • Between 3-10 years relevant industry experience in Operations covering several asset classes.
  • Excellent communication and cross-team collaboration skills.
  • Strong analytical and problem-solving skills.
  • Ability to analyse and debug problems in a fast-paced environment.
  • Disciplined self-starter with a high degree of motivation and rigour.
  • Some programming experience (Python, Go) related to automation and data manipulation (SQL).
  • You like to challenge and be challenged to get the best solutions to a problem or process.

Benefits

  • Onsite gym, sauna, and fitness classes at no charge.
  • Extensive medical benefits including an on-site doctor and therapist at no charge.
  • Breakfast and lunch provided during weekdays.
  • Various supports for caregivers, including emergency dependent care.
  • 25 days paid holiday per year + statutory holiday and paid sick days.
  • Generous compensation and pension contributions.

Accepted file types: pdf, doc, docx, txt, rtf

Interview Questions

Q1: Please provide 2 examples where you identified a process/task that could be automated, and how you went with automating it (how manual it was, what did you notice could help with automation and how you practically automated it).

Q2: Please pick a type of product (FX, Equity, Futures, Options and/or Crypto) and describe in details a concept/setup related to it, from an operations perspective (e.g. describe the process around locates for cash equities and the differences between Europe and US).

Q3: What do you like the most about operations?


#J-18808-Ljbffr

Recommended Skills

  • Algorithms
  • Analytical
  • Artificial Neural Networks
  • Big Data
  • Data Analysis
  • Data Processing

Apply to this job.

Think you're the perfect candidate?

Help us improve CareerBuilder by providing feedback about this job: Report this job

Job ID: kexjdi8

CareerBuilder TIP

For your privacy and protection, when applying to a job online, never give your social security number to a prospective employer, provide credit card or bank account information, or perform any sort of monetary transaction. Learn more.

By applying to a job using CareerBuilder you are agreeing to comply with and be subject to the CareerBuilder Terms and Conditions for use of our website. To use our website, you must agree with the Terms and Conditions and both meet and comply with their provisions.