Data Scientist

Reposted 8 Days Ago
Hiring Remotely in Colombia
Remote
Junior
Insurance • Consulting
So many people use our platform
The Role
The Data Scientist will analyze client data, engineer features, optimize models, and communicate insights to improve risk prevention solutions in collaboration with various teams.
Summary Generated by Built In

Matrix IFS is looking for a Data Scientist, the job involves working with client data to develop and implement fraud detection models, which includes data cleaning, feature engineering, and model tuning. Responsibilities also include collaborating with clients and internal teams, communicating findings, and contributing to product development by creating scalable data pipelines and improving processes.

Key skills required are proficiency in Python (including libraries like NumPy, Pandas, and scikit-learn), machine learning, distributed computing (like PySpark), and strong communication abilities. 

Core responsibilities

  • Data analysis and modeling: Understand client data, perform data cleaning and preprocessing, and develop and tune machine learning models.
  • Collaboration: Work with internal teams (Product, Research) and external stakeholders (clients) to understand business objectives and ensure client success.
  • Technical leadership: Provide technical guidance, drive project execution, and contribute to building scalable data pipelines and prototypes.
  • Product development: Help improve the product by contributing to solution development, keeping up with fraud prevention trends, and creating generalized product enhancements.
  • Communication: Clearly communicate complex findings and strategies to both technical and non-technical audiences. 

Key skills and qualifications

  • Programming: Strong proficiency in Python, including scientific stack libraries (NumPy, Pandas, SciPy, scikit-learn) and experience with distributed computing tools like PySpark.
  • Machine Learning: Expertise in machine learning concepts and algorithms.
  • Data Manipulation: Experience with data cleaning, feature engineering, and building scalable data pipelines (e.g., with Airflow and Trino).
  • Communication: Excellent verbal and written communication skills to explain complex ideas to various stakeholders.
  • Analytical: Strong analytical and problem-solving skills to tackle complex financial crime challenges.

Education: A degree in a quantitative field like Computer Science, Statistics, Applied Mathematics, or a related area is often required. 

Why Matrix

Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors.  With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide. 

We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future. 

Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit Matrix -ifs. Com, 

Skills Required

  • MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, or related field
  • Strong foundation in Machine Learning
  • Experience with Big Data technologies (e.g., Spark, Hadoop)
  • Proficiency in bash, Python, and either Java or Scala
  • Understanding of resource monitoring and runtime optimization
  • Ability to clearly communicate technical findings to diverse audiences
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The Company
London
37 Employees
Year Founded: 2000

What We Do

Matrix Global Services is an award-winning Insurance and Financial Advisory. Matrix delivers a unique portfolio of Insurance products and services that enable investors to access finance and to de-risk and enhance the security of their investments, through the application of proprietary insurance solutions that adjust and reduce risk. Matrix is an outcome led, insurance market solutions provider, the solutions that we create and deploy, credit enhance all types of complex transactions, enabling the efficient flow of global capital. The Matrix team possess an in-depth knowledge of, and strong and established connections to, the global markets for Insurance & (re)Insurance; we blend these capabilities with Financial and Capital Markets expertise, to assist our international clients with navigating complexity and opportunity. Within the M&A community, our specialists provide independent Insurance Due Diligence, insurance programme design and reconstruction, W&I Insurance and supporting transactional solutions that provide our M&A clients with assurance whilst also adding tangible value within the investment life cycle

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