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Sr. Data Scientist (Multiple Positions)

Interactive Brokers

Greenwich (CT)

Hybrid

USD 110,000 - 150,000

Full time

12 days ago

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Job summary

A leading financial services company is seeking a Sr. Data Scientist to leverage machine learning and data analysis in optimizing loan strategies. The role requires advanced technical skills and offers a hybrid work environment. Join a team committed to innovation and excellence in trading technology.

Benefits

Competitive salary, annual performance-based bonus and stock grant
Retirement plan 401(k) with competitive company match
Excellent health and welfare benefits
Paid time off and generous parental leave policy
Daily company lunch allowance
Corporate events including team outings
Education reimbursement and learning opportunities

Qualifications

  • 3 years of experience as a Data Scientist or in a related position.
  • Expertise in advanced machine learning algorithms and methodologies.
  • Experience in predictive modeling, time series forecasting, and anomaly detection.

Responsibilities

  • Collaborating with teams to integrate data features and models.
  • Researching and implementing machine learning algorithms.
  • Analyzing large volumes of financial data to derive actionable insights.

Skills

Python
Machine Learning
Data Analysis
Deep Learning
Data Visualization

Education

Master's degree in Data Science

Tools

Pandas
Scikit-learn
TensorFlow
Java
Oracle SQL
AWS
Spring Framework

Job description

This is Hybrid role (3 days in office /2 days remote)

Interactive Brokers Group has been consistently at theforefront of trading innovation , starting with the invention of the first floor-based handheld computer in 1983. We pride ourselves on being primarily a technology company and challenging the status quo. We push boundaries to offer our clients the best trading platform with the most sophisticated features at the lowest cost. Software development is the lifeblood of our firm, and it shows in our stellar brokerage platform. Interactive Brokers is regularly recognized as aleader in the financial services industry .

Sr. Data Scientist (Greenwich, CT) (Hybrid work: 3 days/week in office required) (multiple positions)

Collaborating with data scientists, software developers, and business stakeholders to integrate data features and models into production systems. Researching, designing, and implementing advanced machine learning algorithms and methodologies to optimize loan strategies and predict borrow-lending rates. Analyzing the lendability of securities to improve the segregation of customer accounts and funds for maximum revenue potential. Analyzing large volumes of structured and unstructured financial data to extract actionable insights. Developing and implementing automation solutions to streamline data processing and model deployment workflows. Evaluating model performance and implementing monitoring systems to ensure model accuracy, reliability, and compliance with regulatory requirements. Testing, validating, and reformulating models to ensure accurate prediction of outcomes of interest.

Hybrid: 2 days/week remote work permissible. 3 days/week work from Greenwich, CT office required.

Requires:

Master’s degree or foreign equivalent in Data Science, Computer Science, Mathematics or related field, and three (3) years of experience as a Data Scientist or related position.

Also requires 3 years of experience with Python and the following libraries: Pandas, Scikit-learn, Scipy, TensorFlow. 3 years of experience working with Java and Spring Framework.3 years of experience in machine learning and deep learning algorithms, including clustering, ARIMA, decision tree, and artificial neural networks. 3 years of experience with exploratory data analysis, data engineering and data visualization. 3 years of experience in predictive modeling, time series forecasting, anomaly detection and risk assessment within the financial industry. 3 years of experience working with Oracle SQL platform and DBMS concepts. 1 year of experience with AWS platform and Nexus for scalable data storage, processing, and deployment of machine learning models in cloud environments.

Send resume with cover letter to IBG LLC, Attn: B.Bermeo Ref: ZG2025, bbermeo@ibkr.com. No calls. EOE

Company Benefits & Perks
  • Competitive salary, annual performance-based bonus and stock grant
  • Retirement plan 401(k) with competitive company match
  • Excellent health and welfare benefits, including medical, dental, and vision benefits
  • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP)
  • Paid time off and a generous parental leave policy
  • Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack
  • Corporate events including team outings, dinners, volunteer activities and company sports teams
  • Education reimbursement and learning opportunities
  • Modern offices with multi-monitor setups
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