Quantitative Data Engineer
Overview Company
| SaaS, FinTech, Global Leader in Trading & Risk Management. Position
| Quantitative Data Developer Impact
| Financial data solutions, Real-time risk, Market data pipelines. Size
| Close to 400 employees Skills
| Python, SQL, Snowflake, Financial derivatives. Location
| London, UK (Onsite). Work Mode
| Fully onsite. Offer
| Competitive salary + Annual bonus. Benefits
| Training budget, Health and dental coverage, Life assurance, Pension scheme, Generous vacation allowance, and more. Shape the Future of Financial Data
Step into a pivotal role as a
Quantitative Data Developer
with a global SaaS FinTech leader. Collaborate with industry experts to create innovative data solutions and optimize pipelines that power financial modeling, real-time risk assessments, and data analytics for some of the most prestigious financial institutions worldwide. Your Role at a Glance
Data Innovation : Design, develop, and maintain robust data solutions for financial datasets, including curves, volatility cubes, and correlation matrices. Optimize Systems : Collaborate with Quant Developers to enhance the performance and reliability of data pipelines and analytics infrastructure. Code with Impact : Build scalable, high-performance tools using Python, SQL, and Snowflake to process and validate large-scale financial datasets. Support Compliance : Document methodologies to meet validation standards for internal and external stakeholders. What You Bring
Expertise : M.S. or Ph.D. in Mathematics, Physical Sciences, or Engineering preferred, with 3-5 years of Python and SQL development experience. Technical Skills : Proficiency in additional programming languages (C++, Java) and financial data structures (yield curves, volatility surfaces, etc.). Finance Knowledge : Understanding of derivatives and risk management tools like VaR and Monte Carlo simulations. Mindset : A proactive learner and collaborative team player, ready to tackle complex problems with precision and creativity. Why Join Us?
Work on
innovative data solutions
used by global hedge funds and investment banks. Grow in a
cutting-edge, collaborative environment . Enjoy comprehensive
benefits , including:
Training budget
for professional development. Health, dental, and life insurance . Generous
vacation and pension schemes .
This is a full-time, onsite role based in London. Ready to Make a Data-Driven Impact in FinTech? Apply now to become a driving force in shaping the future of financial technology.
#J-18808-Ljbffr
Overview Company
| SaaS, FinTech, Global Leader in Trading & Risk Management. Position
| Quantitative Data Developer Impact
| Financial data solutions, Real-time risk, Market data pipelines. Size
| Close to 400 employees Skills
| Python, SQL, Snowflake, Financial derivatives. Location
| London, UK (Onsite). Work Mode
| Fully onsite. Offer
| Competitive salary + Annual bonus. Benefits
| Training budget, Health and dental coverage, Life assurance, Pension scheme, Generous vacation allowance, and more. Shape the Future of Financial Data
Step into a pivotal role as a
Quantitative Data Developer
with a global SaaS FinTech leader. Collaborate with industry experts to create innovative data solutions and optimize pipelines that power financial modeling, real-time risk assessments, and data analytics for some of the most prestigious financial institutions worldwide. Your Role at a Glance
Data Innovation : Design, develop, and maintain robust data solutions for financial datasets, including curves, volatility cubes, and correlation matrices. Optimize Systems : Collaborate with Quant Developers to enhance the performance and reliability of data pipelines and analytics infrastructure. Code with Impact : Build scalable, high-performance tools using Python, SQL, and Snowflake to process and validate large-scale financial datasets. Support Compliance : Document methodologies to meet validation standards for internal and external stakeholders. What You Bring
Expertise : M.S. or Ph.D. in Mathematics, Physical Sciences, or Engineering preferred, with 3-5 years of Python and SQL development experience. Technical Skills : Proficiency in additional programming languages (C++, Java) and financial data structures (yield curves, volatility surfaces, etc.). Finance Knowledge : Understanding of derivatives and risk management tools like VaR and Monte Carlo simulations. Mindset : A proactive learner and collaborative team player, ready to tackle complex problems with precision and creativity. Why Join Us?
Work on
innovative data solutions
used by global hedge funds and investment banks. Grow in a
cutting-edge, collaborative environment . Enjoy comprehensive
benefits , including:
Training budget
for professional development. Health, dental, and life insurance . Generous
vacation and pension schemes .
This is a full-time, onsite role based in London. Ready to Make a Data-Driven Impact in FinTech? Apply now to become a driving force in shaping the future of financial technology.
#J-18808-Ljbffr
