About INTERACTIVE BROKERS! This is a hybrid role (three days in the office/two days remote). Interactive Brokers Group has been consistently at the forefront 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 a leader in the financial services industry. About Your Team:A Telemetry/Data/AI team that works closely with product owners and development teams. As part of this team, you will build or use tools to collect and analyze data that will help understand the business and assist with decision making. We are looking for a Data Scientist Engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. We will rely on you to build data products to extract valuable business insights. In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models. Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytics efforts. In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions. Your Responsibilities Within IBKR: <ul> <li>Design, develop, and implement data pipelines to collect, clean, and transform data from various sources </li><li>Identify valuable data sources and automate collection processes </li><li>Undertake preprocessing of structured and unstructured data </li><li>Assist with data labeling and tagging </li><li>Analyze large amounts of information to discover trends and patterns </li><li>Present information using data visualization techniques </li><li>Propose solutions and strategies to business challenges </li><li>Collaborate with engineering and product development teams </li><li>Perform feature engineering for AI applications </li></ul>What Skills Are Required: <ul> <li>BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred </li><li>5 + years of experience as a Data Scientist or Data Analyst </li><li>Experience in data mining </li><li>Understanding of machine learning and operations research </li><li>Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus </li><li>Experience using ELK Stack (Elasticsearch, Logstash, Kibana) </li><li>Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop) </li><li>Experience with AI/ML-based solutions for data analysis is a big plus </li><li>Analytical mind and business acumen </li><li>Strong math skills (e.g. statistics, algebra) </li></ul>To Be Successful in This Position, You Will Have the Following: <ul> <li>Self-motivated and able to handle tasks with minimal supervision. </li><li>Superb analytical and problem-solving skills. </li><li>Excellent collaboration and communication (Verbal and written) skills. </li><li>An innovative mindset with a drive to improve upon existing systems. </li><li>Outstanding organizational and time management skills. </li></ul>Company Benefits & Perks <ul> <li>Competitive salary, annual performance-based bonus and stock grant </li><li>Retirement plan 401(k) with competitive company match </li><li>Excellent health and welfare benefits, including medical, dental, and vision benefits </li><li>Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP) </li><li>Paid time off and a generous parental leave policy </li><li>Daily company lunch allowance provided, and a fully stocked kitchen with healthy options for breakfast and snack </li><li>Corporate events including team outings, dinners, volunteer activities and company sports teams </li><li>Education reimbursement and learning opportunities </li><li>Modern offices with multi-monitor setups </li></ul> Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

We are looking for a Data Scientist Engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. We will rely on you to build data products to extract valuable business insights. In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models. Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytics efforts. In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions. <ul><li> Salary: $190-$210K </li></ul>Responsibilities: <ul><li> Design, develop, and implement data pipelines to collect, clean, and transform data from various sources</li><li> Identify valuable data sources and automate collection processes</li><li> Undertake preprocessing of structured and unstructured data</li><li> Assist with data labeling and tagging</li><li> Analyze large amounts of information to discover trends and patterns</li><li> Present information using data visualization techniques</li><li> Propose solutions and strategies to business challenges</li><li> Collaborate with engineering and product development teams</li><li> Perform feature engineering for AI applications </li></ul>Required Qualifications: <ul><li> BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred</li><li> 5 + years of experience as a Data Scientist or Data Analyst</li><li> Experience in data mining</li><li> Understanding of machine learning and operations research</li><li> Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus</li><li> Experience using ELK Stack (Elasticsearch, Logstash, Kibana)</li><li> Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)</li><li> Experience with AI/ML-based solutions for data analysis is a big plus</li><li> Analytical mind and business acumen</li><li> Strong math skills (e.g. statistics, algebra)</li><li> Superb analytical and problem-solving skills</li><li> Excellent collaboration and communication (Verbal and written) skills</li><li> An innovative mindset with a drive to improve upon existing systems</li><li> Outstanding organizational and time management skills </li></ul> If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs - this specialized approach sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit:solomonpage.com and connect with us onFacebook , andLinkedIn . Opportunity Awaits.

We are looking for a Data Scientist Engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. We will rely on you to build data products to extract valuable business insights. In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models. Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytics efforts. In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions. <ul><li>Salary: $190-$210K</li></ul> Responsibilities: <ul><li>Design, develop, and implement data pipelines to collect, clean, and transform data from various sources</li><li>Identify valuable data sources and automate collection processes</li><li>Undertake preprocessing of structured and unstructured data</li><li>Assist with data labeling and tagging</li><li>Analyze large amounts of information to discover trends and patterns</li><li>Present information using data visualization techniques</li><li>Propose solutions and strategies to business challenges</li><li>Collaborate with engineering and product development teams</li><li>Perform feature engineering for AI applications</li></ul> Required Qualifications: <ul><li>BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred</li><li>5 + years of experience as a Data Scientist or Data Analyst</li><li>Experience in data mining</li><li>Understanding of machine learning and operations research</li><li>Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus</li><li>Experience using ELK Stack (Elasticsearch, Logstash, Kibana)</li><li>Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)</li><li>Experience with AI/ML-based solutions for data analysis is a big plus</li><li>Analytical mind and business acumen</li><li>Strong math skills (e.g. statistics, algebra)</li><li>Superb analytical and problem-solving skills</li><li>Excellent collaboration and communication (Verbal and written) skills</li><li>An innovative mindset with a drive to improve upon existing systems</li><li>Outstanding organizational and time management skills</li></ul> If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs – this specialized approach sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: <a>solomonpage.com</a> and connect with us on <a>Facebook</a>, and <a>LinkedIn</a>. Opportunity Awaits.

<h3>Job Description</h3><div>Job Description<div>About INTERACTIVE BROKERS!This is a hybrid role (three days in the office/two days remote).Interactive Brokers Group has been consistently at the forefront 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 a leader in the financial services industry.About Your Team: A Telemetry/Data/AI team that works closely with product owners and development teams. As part of this team, you will build or use tools to collect and analyze data that will help understand the business and assist with decision making. We are looking for a Data Scientist Engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. We will rely on you to build data products to extract valuable business insights.In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models.Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytics efforts.In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions.Your Responsibilities Within IBKR: <ul><li>Design, develop, and implement data pipelines to collect, clean, and transform data from various sources</li><li>Identify valuable data sources and automate collection processes</li><li>Undertake preprocessing of structured and unstructured data</li><li>Assist with data labeling and tagging</li><li>Analyze large amounts of information to discover trends and patterns</li><li>Present information using data visualization techniques</li><li>Propose solutions and strategies to business challenges</li><li>Collaborate with engineering and product development teams</li><li>Perform feature engineering for AI applications</li></ul> What Skills Are Required: <ul><li>BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred</li><li>5 + years of experience as a Data Scientist or Data Analyst</li><li>Experience in data mining</li><li>Understanding of machine learning and operations research</li><li>Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus</li><li>Experience using ELK Stack (Elasticsearch, Logstash, Kibana)</li><li>Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)</li><li>Experience with AI/ML-based solutions for data analysis is a big plus</li><li>Analytical mind and business acumen</li><li>Strong math skills (e.g. statistics, algebra)</li></ul> To Be Successful in This Position, You Will Have the Following: <ul><li>Self-motivated and able to handle tasks with minimal supervision.</li><li>Superb analytical and problem-solving skills.</li><li>Excellent collaboration and communication (Verbal and written) skills.</li><li>An innovative mindset with a drive to improve upon existing systems.</li><li>Outstanding organizational and time management skills.</li></ul> Company Benefits & Perks <ul><li>Competitive salary, annual performance-based bonus and stock grant</li><li>Retirement plan 401(k) with competitive company match</li><li>Excellent health and welfare benefits, including medical, dental, and vision benefits</li><li>Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP)</li><li>Paid time off and a generous parental leave policy</li><li>Daily company lunch allowance provided, and a fully stocked kitchen with healthy options for breakfast and snack</li><li>Corporate events including team outings, dinners, volunteer activities and company sports teams</li><li>Education reimbursement and learning opportunities</li><li>Modern offices with multi-monitor setups</li></ul><div>Company OverviewInteractive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.</div></div></div>

We are looking for a Data Scientist Engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. We will rely on you to build data products to extract valuable business insights. In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models. Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytics efforts. In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions. <ul><li>Salary: $190-$210K</li></ul> Responsibilities: <ul><li>Design, develop, and implement data pipelines to collect, clean, and transform data from various sources</li><li>Identify valuable data sources and automate collection processes</li><li>Undertake preprocessing of structured and unstructured data</li><li>Assist with data labeling and tagging</li><li>Analyze large amounts of information to discover trends and patterns</li><li>Present information using data visualization techniques</li><li>Propose solutions and strategies to business challenges</li><li>Collaborate with engineering and product development teams</li><li>Perform feature engineering for AI applications</li></ul> Required Qualifications: <ul><li>BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred</li><li>5 + years of experience as a Data Scientist or Data Analyst</li><li>Experience in data mining</li><li>Understanding of machine learning and operations research</li><li>Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus</li><li>Experience using ELK Stack (Elasticsearch, Logstash, Kibana)</li><li>Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)</li><li>Experience with AI/ML-based solutions for data analysis is a big plus</li><li>Analytical mind and business acumen</li><li>Strong math skills (e.g. statistics, algebra)</li><li>Superb analytical and problem-solving skills</li><li>Excellent collaboration and communication (Verbal and written) skills</li><li>An innovative mindset with a drive to improve upon existing systems</li><li>Outstanding organizational and time management skills</li></ul> If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs – this specialized approach sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: <a>solomonpage.com</a> and connect with us on <a>Facebook</a>, and <a>LinkedIn</a>. Opportunity Awaits.

Data Engineer Jobs in Greenwich, CT

Senior Data Engineer
September 3, 2024

Senior Data Engineer
August 31, 2024

Senior Data Engineer
August 22, 2024

Senior Data Engineer
August 15, 2024

Senior Data Engineer
August 11, 2024

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Data Engineer Jobs in Greenwich, CT

Senior Data EngineerSeptember 3, 2024

Senior Data EngineerAugust 31, 2024

Senior Data EngineerAugust 22, 2024

Senior Data EngineerAugust 15, 2024

Senior Data EngineerAugust 11, 2024