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Senior Associate, Machine Learning Engineer

SpringCube

Full time - Senior Associate/ Asst Manager

Banking & Financial Services

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Senior Associate, Machine Learning Engineer 

Company Overview:
This organization leads innovation in global financial markets, leveraging cutting-edge technologies to develop advanced sales, marketing, and trading solutions. Through data-driven insights and applications, it empowers financial professionals to optimize decision-making and drive business impact.

Job Description:
As a Machine Learning Engineer, you will join a dynamic AI/ML team focused on creating impactful data science solutions across diverse financial products and instruments. You will collaborate with stakeholders, quantitative experts, and traders to develop and deploy machine learning systems that enhance operational efficiency and deliver value in financial markets.

Responsibilities:

  • Utilize financial data to create solutions for hyper-personalization, dynamic pricing, and trade analytics.
  • Collaborate with quantitative experts and traders to address optimization problems using machine learning and quantitative methods.
  • Research, evaluate, and implement best practices for ML models and algorithms.
  • Develop and optimize AI/ML models using advanced computational techniques.
  • Build and deploy machine learning systems, microservices, and reusable libraries.

Qualifications:

  • Degree in Mathematics, Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
  • Experience in the data science lifecycle, handling both structured and unstructured data.
  • Strong understanding of machine learning concepts and their trade-offs.
  • Proficiency in Python, SQL, and software development best practices.

Preferred Skills:

  • Knowledge of econometrics, statistical modeling, time-series analysis, and causal inference.
  • Experience with A/B testing, bandit experiments, and multivariate analysis.
  • Familiarity with LLMs, generative AI frameworks, and prompt engineering.
  • Understanding of financial markets and key market dynamics.
  • Experience with reinforcement learning models and scalable ML systems.

Skills:
Python, SQL, Machine Learning, Statistical Modeling, Time-Series Analysis, Reinforcement Learning, Data Science

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.