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Data Development Engineer
WorldQuantdevelops and deploys systematic financial strategies across a variety of assetclasses and global markets. We seek to produce high-quality predictive signals(Alphas) through our proprietary research platform to employ financialstrategies focused on exploiting market inefficiencies. Our teams workcollaboratively to drive the production of Alphas and financial strategies the foundation of a sustainable, global investment platform.
Technologistsat WorldQuant research, design, code, test and deploy projects while workingcollaboratively with researchers and portfolio managers. Our environment isrelaxed yet intellectually intense. Our teams are lean and agile, which meansrapid prototyping of products with immediate user feedback. We seek people whothink in code, aspire to solve undiscovered computer science challenges and aremotivated by being around like-minded people. In fact, of the 600 employeesglobally, approximately 500 of them code on a daily basis.
WorldQuantssuccess is built on a culture that pairs academic sensibility withaccountability for results. Employees are encouraged to think openly aboutproblems, balancing intellectualism and practicality. Great ideas come fromanyone, anywhere. Employees are encouraged to challenge conventional thinkingand possess a mindset of continuous improvement. Thats a key ingredient inremaining a leader in any industry.
Ourgoal is to hire the best and the brightest. We value intellectual horsepowerfirst and foremost, and people who demonstrate an exceptional talent. There isno roadmap to future success, so we need people who can help us create it. Ourcollective intelligence will drive us there.
The Role : We are seeking for an exceptionally talentedsoftware engineer to develop large scale, complex software system that controlsour datasets creation. Datasets are consumed internally by our researchers andour quantitative models. The successful candidate will be working on currentand next-generation data acquiring system that ingest data from differentformat, protocol. Your responsibilities will include:
Requirement-gathering, architecting and designing extremelylarge-scale data system.
Developing software systems and micro-services in Python/C++.
Integrating state-of-the-art open source software andtechnologies.
Assembling platforms and frameworks to automate our dataenrichment process.
Developing and architecting next generation monitoring platformfor data guarding, data governance.
Collaborating with internal technology, research and portfoliomanagement team.
What Youll Bring:
Background in Computer Science, Electrical Engineering, AppliedMath or Physics, with minimum Bachelors degree. Proof of good academic record(such as GPA and other relevant test scores).
Expert in design large scale distributed software system.
Expert programing skills in Python and Python stack (Flask,Celery).
Expert in database design (either SQL or NoSQL), know how tooptimize/design database schema that can evolve overtime.
Experience working under Linux environment, familiar withPerl/Shell scripting.
Candidate must master at least one Object-oriented Languages(prefer C++ or Java). Candidate should be familiar with debugger/tool underLinux such as gcc, g++, gdb, maven/ant build Experience with container technology (docker, kubernetes),micro-services, big data processing (spark, kafka, hdfs) is a BIG PLUS.
Strong understanding of data structures and algorithms.
Be an analytical thinker with exceptional problem solvingskills.
Good communication skills: must be fluent in English, spoken andwritten Interested in applying technology to real world situation,comfortable working in fast paced work environment, detail oriented and capableperforming tasks under time pressure.
Knowledge of basic statistics/probability, familiar withconcepts such as correlation, standard deviation and how to compute is a PLUS
