We aim to grow in the short and medium term. Grow with us!We are constantly searching for raw talent, no matter the field of expertise.
We tend to hire individuals with scientific backgrounds, but all applications are welcome.
Formal education in finances is not required, but interest in financial markets is definitely a must!
Work with Volatility Senior Traders to assist and learn all aspect of trading and execution.Develop and monitor systematic strategies.Maintain and improve existing report and procedures within the trading deskDesired skills MSc in maths, physics, engineering or other quantitative field.PhD or similar research experience will be strongly valuedSound knowledge of statistics and probabilityStrong programming skills in Python. C++\C# will be positively valuedStrong communications skills in English.At least basic knowledge on Black-Scholes Option Pricing Theory is required. Find some references below:The Volatility Smile (Derman and Miller).Trading Volatility (Colin Bennett).Options, Futures And Other Derivatives (John Hull).Work with Senior Trader to assist and learn all aspects of trading and execution.Produce solid implementations of cutting edge pricing models and hedging tools.Maintain and improve existing report and backtesting procedures within the desk. – Interact as part of the trading team in analyzing and implementing existing and new strategies.Desired skills MSc in maths, physics, engineering or other quantitative field.PhD or similar research experience will be strongly valued.Sound knowledge of statistics and probability.Strong programming skills in Python or Matlab. C++\C# will be positively valued. – Good understanding of algorithms and data structures.Experience at building highly quantitative fixed income models is highly valued.Knowledge of equity algorithmic strategies would be a plus.Strong communications skills in English.Work with Senior Trader to assist and learn all aspects of trading and execution.Produce solid implementations of cutting edge pricing models and hedging tools.Maintain and improve existing report and backtesting procedures within the desk. – Interact as part of the trading team in analyzing and implementing existing and new strategies.Desired skills BSc in maths, physics, engineering or other quantitative field. Undergraduate students in their last year are also encouraged to apply.Sound knowledge of statistics and probability.Strong programming skills in Python or Matlab. C++\C# will be positively valued. – Good understanding of algorithms and data structures.Experience at building highly quantitative fixed income models is highly valued.Knowledge of equity algorithmic strategies would be a plus.Strong communications skills in English.Knowledge of Black Scholes Theory and Financial Markets is a plus. Transform traders and researchers needs into data engineering specifications. Help build a trading environment for the different crypto assets, in particular building the data ecosystem and order handling processes. Build tools and automation capabilities for data pipelines that improve the efficiency, quality and resiliency of our data platform. Desired skills MSc/PhD preferably in telecommunications engineering or computer science.Strong background in at least one programming/scripting language such as Python.Strong knowledge of connectivity; including Websockets, REST APIs, etc.Experience with relational databases and SQL.Deep understanding of data structures, algorithms, multithreading etc.Experience developing methods and programs to parse, process, analyze, and comprehend large data sets.Familiarity with the major blockchain technologies and interest in new developments.Keep track of data provenance, analysis algorithm utilized and agent producing specific report.Develop and deploy open source solutions in our large and distributed global infrastructure.Being proactive in learning new technologies, and solving unstructured problemsDesired skills DEGREE:
Advanced degree in Computer Science, Physics or Mathematics.EXPERIENCE in PROGRAMMING:
Experience with languages, at least 3 years in 2 of them.Python.C#/C++.Golang.Knowledge in:Rust.Java.KNOWLEDGE/Understanding of cloud environments, at least 2 years of experience performing these functions:
Development of backend solutions, microservices. Programming of dockerized applications.Experience with Kafka.Knowledge of the operation of systems used in data analysis:Hadoop/HDFS.Spark.Cassandra.PRACTICAL KNOWLEDGE to manage system installations, at least 2 years of experience:
Creation and deployment of Docker containers.LDAP/DA.Databases:Postgress.MongoDB.EXPERIENCE of specific IaaS APIS:AWS API.Azure API.OPenStack API.Demonstrable knowledge of Gitlab/Github or equivalent CI/CD tools.Desired skills Keep track of data provenance, analysis algorithm utilized and agent producing specific report.Develop and deploy open source solutions in our large and distributed global infrastructure.Being proactive in learning new technologies, and solving unstructured problems.Desired skills DEGREE:
Advanced degree in Computer Science, Physics or Mathematics.EXPERIENCE in programming, at least 3 years of experience:
PythonGoKafkaAlternatively:RabbitMQAkka streams.Apache Beam.EXPERIENCE in DDBB design and implementation, relational and NoSQL tools, 2 years of experience in at least two of them:
MongoDBElasticSearchPRACTICAL KNOWLEDGE:
At least 2 years working as Data (Cloud) Engineer with the mentioned technologies.Demonstrable knowledge of Gitlab/Github or equivalent CI/CD tools.Experience in the use of ML frameworks to through python environments.Experience in the use of Map/Reduce based systems:SparkHadoop/HDFS.
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