Join The Team
Our team is global, agile and relentless about our clients’ success. We solve complex problems and provide support to tackle challenges in unconventional ways.
And while we work hard we’re certainly not shy about celebrating a new client over a pint of our own office brewed beer or unwinding together during our free weekly team lunches. We have a flexible work environment so you’ll sometimes bump into team members working from the beach just 100 meters away on any of Malta’s 300+ days of sunshine. Just some of the perks of working from our island-based HQ!
With two additional offices opening in London and Auckland, we’re better positioned to service our clients around the globe whenever and wherever they need us.
We offer comprehensive benefits, a competitive salary, generous bonuses and a fridge full of snacks. Not to mention we have massage therapists in the office on a biweekly basis to help let some tension off. Company trips a couple times a year (sailing, skiing, etc) and regular barbecues help keep us connected in a relaxed environment when the work is away.
If you’re interested in joining us as we continue to grow and disrupt an antiquated industry with fresh ideas and impactful software, take a look at what we have available below. Maybe you’ll find a good fit or maybe you know somebody who might. Feel free to pass our details along!
Current Openings
Executive Assistant
The Challenge:
We’re looking for an agile, self-starting and adept Executive Assistant to the CEO of the group who is comfortable working in an exciting and fast-paced environment. With a busy schedule, he requires support in the general day-to-day
Working in an ever-changing industry with a firm that is constantly growing and evolving to anticipate the needs of the market is tremendously exciting. This also means that sometimes what’s important gets lost in the chaos. This is where you come in. Your ability to keep everything running smoothly and the headlights on the big objectives will be the oil that keeps our
We’ll Trust you to:
- Be a self-starter capable of building out detailed solutions and plans for unique or abstract situations with limited input from the CEO
- Liaise with various partners to complete tasks
- Make travel and transport arrangements
- Manage the CEOs tasks, calendar, and email
- Prepare travel briefs before business trips
- Book tables at restaurants for broker-client meetings
- Provide comparative preparation and procurement of various needed goods and services
- Arrange gifts for global clients and partners
- Record bookkeeping entries
- Handle miscellaneous day-to-day tasks
What you’ll need to Succeed:
- Excellent analytical problem-solving skills
- Fantastic communication and relationship-building skills (including via email, phone and in-person)
- Strong negotiation skills
- Flexibility
- Tact, discretion, and diplomacy
- The ability to thoroughly research various topics
- Attention to detail
- The ability to quickly adapt to changing circumstances
- The ability to anticipate needs and potential challenges in various scenarios
- Meticulous organisational and time management skills
- Basic technical savviness
What will help you go Further:
- Basic Microsoft Excel skills
- Fluency in multiple languages (English is a must, others are nice-to-have)
The Perks:
Within your generous benefits and compensation package, you’ll be entitled to-
- A base salary plus an annual performance-based bonus of up to 50% of your base salary
- Flexible working environment (we have remote employees all over the world)
- Adaptable working hours
- Unlimited planned leave
- Company summits twice a year (ski trips, sailing trips, etc)
- 16 weeks paternity leave
- Biweekly massages
- And many other unique perks and benefits!
If this sounds like you, email us ([email protected]) your CV and a cover letter if you think we’re a good match. We’ll get in touch with you to let you know the next steps
Senior Software Engineer
The Challenge:
Lancaster is pioneering the use of statistical, econometric, and machine learning methods in helping to calculate liquidity risk. If you’re a sharp coder with a strong knack for implementing efficient, scalable and maintainable code with a passion for big-data infrastructure, machine learning algorithms, and data visualization solutions, this is a very unique opportunity to contribute to the development of an innovative and disruptive set of tools that will change the way firms evaluate their own risk.
You will work collaboratively to build a liquidity tool for banks,
We’ll Trust you to:
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
- Designing and implementing flexible, maintainable, correct and efficient code
- Studying and understanding technical model documents from
team of statisticians - Testing and debugging code to ensure correctness over
wide range of inputs - Reviewing, refactoring and optimizing existing code
- Participating in peer code reviews and collaborative development with other developers and quantitative finance analysts
- Conduct statistical analysis, developing machine learning methodologies, model estimation and leading part of the research activities
- Explore current academia and market best practices in machine learning approaches
- Assess quality controls around different approaches and suggesting new approaches in research
- Use independent research in developing machine learning methodology from the ground up
What you’ll need to Succeed:
- An advanced academic degree in Computer Science
- Experience with large and complex data sets
- 5-10 years of professional experience in at least two of the following: Java, Scala, C++, JavaScript, Python, R, SQL, Julia, Matlab, RDBMS or similar
- Demonstrated ability to write efficient, scalable, well-documented and error-free code
- Strong mathematical skills, including statistics, calculus
and linear algebra - Effective verbal/written communication skills
- Willingness to learn and share knowledge
- Comfort in working in a team environment
- Experience in building distributed systems.
- 2+ years of financial market experience in a professional role. Experience within Foreign Exchange or other decentralized asset classes is a plus.
- Interest in computational statistics, in particular, the applications of machine learning on large data sets and natural language processing to behavioral finance. We are working at the intersection of mathematics, computer science, and computational finance.
- Ability to face off with finance and business subject matter experts on challenging problems
- Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.
- Knowledge of distributed
compute such as Apache Spark or Tensorflow - Experience with open source data science
tool kits and technologies - Experience with big data processing, Hadoop.
- Experience in engineering
SaaS based software development - Exposure to some machine learning frameworks – Scikit, MLPack, TF, SparkMLib, Caffe, etc.
- Hands on experience in building pipeline & lambda architecture
- Experience in Web services, micro-services, and REST
The Perks:
Within your generous benefits and compensation package, you’ll be entitled to-
- A base salary plus an annual performance-based bonus of up to 50% of your base salary
- Flexible working environment (we have remote employees all over the world)
- Adaptable working hours
- Unlimited planned leave
- Company summits twice a year (ski trips, sailing trips, etc)
-
16 weeks paternity leave
- Biweekly massages
- And many other unique perks and benefits!
If this sounds like you, email us ([email protected]) your CV and a cover letter if you think we’re a good match. We’ll get in touch with you to let you know the next steps.
Operations Intern
Are you looking to gain experience in the financial markets and learn about how technology is impacting the industry every day? Are you a quick learner who handles pressure well and thinks quick on their feet?
We are building the next generation of brokerage software tools to help our clients succeed and we need proactive staff to grow with them.
Join our team and give your career a headstart.
If this sounds like you, email us ([email protected]) your CV and a cover letter if you think we’re a good match. We’ll get in touch with you to let you know the next steps.
Lancaster Systems Limited
77 Windsor St
Sliema
SLM 1853
Malta
Or send us your CV via email with a cover letter:
We look forward to hearing from you.