Position Title

Quant Trader

Location

Remote, strong preference toward North American time zone

Position Summary

Searching for a Quant Trader with direct experience in either financial markets or sports prediction markets to join a market making team at crypto.com.

The work involves building models and trading across sports and other prediction markets. Looking for someone with a strong quantitative background who is interested in applying those skills to these specific areas.

Required Qualifications

Experience: 3+ years of direct experience in quantitative trading, research, or execution within financial markets or sports prediction markets.

Modeling: Proven ability to build, test, and deploy mathematical models for pricing and risk management.

Data Proficiency: Strong capability in handling large datasets and identifying market inefficiencies.

Domain Interest: A deep understanding of market microstructure, whether in traditional limit order books or sports betting exchanges. Genuine interest in sports and/or sports betting is a plus.

How to Apply

DM me, Ian Johns on LinkedIn

Position Title:

Director

Location:

New York, NY

Position Summary:

Director at TD Securities (USA) LLC (New York, NY) Full-time – Provide quantitative models, analytics, and quantitative support to manage data for global markets and investment banking business activities. Remote work/hybrid work schedule may be permitted as per company policy. Rate of pay: $210,000 - $230,000 per year. Email resume to TD.SecuritiesUSAHRAdmin@tdsecurities.com. Reference TD-9853578.

Required Qualifications:

Position requires a Bachelor’s degree, or foreign equivalent, in Operations Research, Financial Engineering, or related quantitative field, and 5 years of progressively responsible experience in the job offered, as Machine Learning Engineer, or related position involving quantitative analytics. Alternatively, employer will accept a Master’s degree and 2 years of experience. Full term of experience must include each of the following: Statistical modeling (predictive and descriptive); Building models with machine learning methods in Python; Combining data from different databases; Software development and programming in C++, Java, and Python; SQL; Data analysis using HDFS, Tableau, Dremio, SQL, and Snowflake; and, Use of data mining and machine learning techniques to analyze large datasets. Employer will accept any suitable combination of education, training, or experience.

How to Apply:

Email resume to TD.SecuritiesUSAHRAdmin@tdsecurities.com. Ref: TD-9853578.

Point72 Asset Management, L.P. has an opening for an Research Analyst in New York, New York. This position is hybrid; may work at home up to 2 days per week, as permitted. Job duties include building and backtesting trade ideas across global FX markets; and developing and implementing strategies for FX and rates. This position requires at least a master’s degree or its equivalent in Economics, Finance, or a related field and at least three years of experience as Research Analyst/Strategist or in a related role at a financial services institution. Also requires 3 years experience with curve construction and pricing model development for rates and FX; 3 years experience programming in Python, R, and SQL; 3 years experience developing/implementing quant trading strategies for FX; and 3 years experience with risk modeling and risk management tools. The salary range for this position is from $175,000 to $200,000 per year. To apply, send your resume to svcRecruiting@Point72.com and reference Job Code Z032026Y.

Research Analyst; Cubist Systematic Strategies (New York, NY). Work From Home 2 times per week. Conduct & manage quant financial alpha research from diverse data services to produce accurate stock return forecasts. Build/implement profitable quant equity investment models; assist with general trading strategies. Requirements: PhD (or equivalent) in Stats, Math, or related STEM field + 2 years experience as Research Analyst (or related role) in financial services institution. Must also have: 2 years programming/using Python; 2 years performing statistical analysis of historical data gathered from financial markets to build quant models; 2 years conducting independent research using large data sets; 2 years with systematic trading strategies for equities or futures; 2 years working in a systematic investing business; and demonstrable experience with high-dimentional Stats, Regularization & Random Matrix Theory. Salary = $152,339-$300k/yr. Resume to svcRecruiting@Point72.com & reference Job Code L032026P.

Data Scientist II; Point72, L.P. (New York, NY). Work From Home 2 days per week. ID new data sets. Engage with vendors to know characteristics of datasets. Requires master’s or its equivalent in Computer Science, Math, Physics, Stats or related quant field & 6 months experience as a Quant Researcher, Data Scientist or related role in financial services. Must have 6 months experience with: working with large data sets, including classification, regression, distribution analysis, & predictive modeling; applying stat tests to large data sets; programming in Python; & demonstrated experiene programming in SQL, TSQL, SQL Server or PL-SQL. Salary range= $140k - $200k/yr. Resume tosvcRecruiting@Point72.com & reference Job Code L032026J.

ExodusPoint Capital Management seeks a Junior Quant Researcher in New York, NY. Develop, test & support quantitative analytics and financial engineering libraries. Must have at least MA or equivalent in Econometrics, Financial Engineering, Financial Mathematics, Statistics or related. Must have demonstrable experience with: statistics & data science techniques, Time Series Modeling, ML techniques for financial forecasting problems; stochastic calculus, Monte Carlo simulation or PDE methods for fixed income derivative pricing; progrmming in C++ & pricing library; numerical optimization & linear algebra libraries & app to curve building; working with large-scale financial dataset; with equity factor model; in programmng languages. Salary=$112,778 -$160k. Send resume to Lauren.Kocaj@exoduspoint.com & refer to Job Code XY032026.