Senior Data Analyst (Job # ID: 00084870) (Tower Research Capital LLC; New York, New York): Collect new datasets from various sources including market data feeds, vendor data feeds, brokers, and other internal and external sources. Build processes to clean, transform, tag, and present datasets. Monitor and maintain the data process, ensuring data quality and accuracy throughout the data lifecycle. Engage with vendors to understand the characteristics of datasets. Collaborate with cross-functional teams to build internal data products. Research alpha sources in order to identify patterns and trends in data. Develop and improve internal data catalog. Stay up to date with new technologies and techniques in data science and machine learning. Collaborate and interact with trading teams on data findings and insights.

Part-time work from home benefits.

Minimum Requirements: Master’s degree or foreign equivalent in Quantitative Finance, Financial Engineering, Computer Science, Statistics or related quantitative field, plus one (1) year of experience in the financial industry.

Must have experience with the following:

• Programming in Python and R;
• Programming in C#, C++, or Java;
• Programming in SQL or KDB;
• Using data analysis libraries;
• Data processing in cloud platform; and
• Machine learning.

Skills may be gained through academic coursework and concurrently while pursuing academic studies.

Salary: $150,000 - $225,000 per year

Apply online at https://tower-research.com/open-positions/ or send resume to Tower HR at us-ta@tower-research.com & indicate job # ID 00084870. 

Quantitative Researcher (Job # ID: 00087658) (Tower Research Capital LLC; New York, New York): Design, implement and deploy trading algorithms. Research high to mid frequency alphas to develop algorithmic trading strategies. Evaluate strategic trading opportunities by analyzing market data, market microstructure, and alternate data for patterns. Develop algorithmic tools to analyze data for patterns and develop data platforms. Contribute to libraries of analytical computations to support market data analysis and trading. Develop, augment, and calibrate exchange simulators.

Part-time work from home benefits.

Minimum Requirements: Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related field.

Must have experience with the following:

• Heavy concentration in mathematics, including statistics and probability;
• Working in back-testing historical performance and bootstrapping simulation of quantitative strategies;
• Research large data sets and developing quantitative models across multiple asset classes;
• Highly specialized knowledge in machine learning, big data, statistical modeling, portfolio construction theory, deep learning, econometrics, time series, linear algebra; and
• Programming in Python, R, and Matlab.

Salary: $150,000 to $250,000 per year

Apply online at https://tower-research.com/open-positions/ or send resume to Tower HR at us-ta@tower-research.com & indicate job # ID 00087658. 

Quantitative Trader (Job # ID: 00080674) (Tower Research Capital LLC; Chicago, Illinois): Design, implement, and deploy trading algorithms. Design trading strategies. Contribute to libraries of analytical computations to support market data analysis and trading. Create tools to analyze data for patterns. Explore trading ideas by analyzing market data and market microstructure for patterns. Develop, augment, and calibrate exchange simulators. Conduct research on signal and modeling to enhance prediction accuracy and investigate ways to refine execution algorithms in the market.

Part-time work from home benefits.

Minimum Requirements: Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science, Engineering (any specialty field within Engineering is considered relevant) or a related quantitative field, plus one (1) year of experience in the position offered or related occupation.

Must have experience with the following:

• Mathematics and statistics;
• Back-testing, simulation, and statistical techniques including auto-regression, auto-correlation and Principal Component Analysis;
• Data-mining and analysis skills, including experience dealing with a large amount of data or tick data;
• Signal generation and statistical models; and
• Python or C++.

Salary: $150,000 - $250,000 per year

For full benefits visit: https://tower-research.com/careers/

Apply online at https://tower-research.com/open-positions/ or send resume to Tower HR at us-ta@tower-research.com & indicate job # ID 00080674. 

Quant Software Developer; Cubist Systematic Strategies (New York, NY). Play significant role in design, build & maintenance of research & trading infrastructure & systems. Maintain & improve data pipelines for large-scale data processing. At least master’s or its equivalent in Computer Science, Computer Engineering, Info Systems, Applied Math, Physics, or related & at least 3 months as Quant Software Developer/Engineer Intern. Must also have 3 months with: programming in C++ & Python; designing libraries for real-time & historical data-driven modeling & large-scale analysis; evaluating or monitoring real-time system performance & efficiency; designing ML tools to streamline production processes; developing in Linux environment; & using ML tools to extract data & enhance production performance. Must have completed at least 1 internship with a systematic trading or related business. Salary = $175k-$350k/yr. Resume to svcRecruiting@Point72.com & reference Job Code X022026Z.

Business Analyst, Fund Accounting; Point72, L.P. (100% Remote). Write Geneva reports RSLs & work on Geneva development projects. Support Geneva issues via development & support. Must have a bachelors or equivalent in Computer Science, Information Technology, Computer Engineering or in a related field & 5 years progressive experience as a Geneva SME or in a related role leading projects in financial service. Must have 5 years with: databases such as SQL Server or Oracle; Java & ETL tools; working in a Linux environment including Red Hat; & 2 years experience with Advent Geneva version 16.1 or above. Must have demonstrated experience/knowledge with: modeling different types of Objects in Geneva (for example, products like Defaulted Bonds, Sinking funds, Indexes, etc.); RSLs & on Geneva's development projects; & Portfolio Accounting fundamentals, PNL, Taxlot, Trial Balance, Ledger etc. Salary range= $240k - $293k/yr. Resume tos vcRecruiting@Point72.com & reference Job Code K012026V.

Research Analyst; Cubist Systematic Strategies (New York, NY). Work From Home 1 time per week. Conduct & manage quant finance alpha research from diverse data sources to provide accurate stock return forecasts. Build & implement profitable quant equity investment models. Must have at least a master’s or equivalent in Computational Finance, Financial Engineering, Statistics, Math, Ops Research, Computer Science or related STEM field, like Physics or Engineering & at least 1 year experience as a Researcher in a quant field. Must have 1 year experience with: programming/utilizing C++, Python or SQL; conducting independent research utilizing large data sets; & demonstrated experince using advanced stat techniques including linear & generalized linear models, mixed-effect models, non-parametric models & time series analysis. Must have completed at least 1 quan research internship in financial services developing, researching, & implementing quant models for equities or futures on behalf of a financial services institution. Salary = $150k-$300k/yr. Resume to svcRecruiting@Point72.com & reference Job Code Y012026H.