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Embedded Systems Knowledge: Knowledge in a broad range of electronics including power and high speed communications
Linux & Networking: Good Proficiency with Linux command line and computer networking concepts
Embedded Test Knowledge: Knowledge of circuit board DfX and manufacturing test best practices
Test Automation: Competency with Python, LabView, and/or MATLAB
BS or MS in Electrical Engineering or related field
Hands-on Experience: 5+ years of proficiency / experience testing and troubleshooting electronics with standard test equipment

SmartExplore AI is experimental.

Recommended

ML Engineer — Enterprise AI Platform

ikigai

Cambridge, MA 02139

~ 39 min Onsite

Bachelor's degree in a relevant field
Strong knowledge in ML and deep learning
Experience with tools like Python and TensorFlow

SmartExplore AI is experimental.

DiversityJobs

Senior Data Engineer (Hybrid: Boston, MA - US)

Energy Solutions

Boston, MA 02110

$140,000-$165,000/yr

Health Insurance

Hybrid Taxable Bond Portfolio Analyst | Quant & Data-Driven

Gwkinvest

Boston, MA 02115

Hybrid~ 33 min

Strong quantitative and analytical skills
Taxable Bond Portfolio Analyst
Proficiency in tools like Excel and Python
Hybrid role requires 4 days in-office and 1 day remote
Relevant educational qualifications
Competitive base salary ranging from $90,000 to $125,000 USD

SmartExplore AI is experimental.

New, Posted 1 day ago

Quantitative Developer

SupportFinity™

Boston, MA 02115

$155,000-$260,000/yr

~ 33 min Onsite

Excellent communication skills, including data visualization
1 – 3 years of relevant experience required
High‑performance computing
Experience implementing production‑grade Python code for a data analytic business, preferably in investment management
Ability to design feeds for new data sources from third‑party vendors
Distributed computing
SQL
Understanding of probability and statistics, including linear regression and time‑series analysis
Expert programming skills in Python with pandas and numpy
Expertise in OOP paradigms, data structures, and numerical algorithms
An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa - a quantitative degree with a computer science application
Basic familiarity with unit testing, continuous integration, DevOps, containerization
Unix/Linux system tools and environment
High energy and strong work ethic
Some experience programming in R with tidyverse packages
Hadoop, Spark, Kafka, and related technologies

SmartExplore AI is experimental.

Senior Quantitative Developer

Soteria Reinsurance

Boston, MA 02115

$158,100-$168,100/yr

~ 33 min OnsiteRetirement Benefit

DE completing the software development lifecycle (SDLC) using OS, I/O, and network (MobaXterm/PuTTY); developing solutions in VS Code, PyCharm, and Docker; managing application versions and ensuring data quality in Prod, User Acceptance Testing (UAT), and Sandbox; and performing Application Lifecycle Management (ALM), package management (using JFrog Artifactory), configuration management, and implementing webhooks.
Developing models for multi-asset class products using Python, R, or SQL;
Salary: $158,100.00 - $168,100.00/year.
Demonstrated Expertise (“DE” developing analytical solutions using DBeaver, JupyterLab, and Tableau;
Or, alternatively, Master's degree in Quantitative and Computational Finance, Computer Science, Accounting, Financial Mathematics, Actuarial Science, Statistics, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing and deploying quantitative models and analytical solutions within a financial services environment, using Python, R, or SQL.
DE developing and implementing working quantitative models with research and technology teams, using Python, R, or SQL; extracting data from vendors -- Bloomberg, DataStream, Morningstar, FactSet, or Concord; designing and optimizing pipelines with ActiveBatch, AutoSys (JIL), or Airflow (YAML) to process data in Snowflake, NoSQL, and Oracle SQL or SQL Server; and constructing and optimizing multi-step processes with Amazon Web Services (AWS) resources.
DE developing enterprise applications using SQL, Python (NumPy, Pandas, SciPy, Statsmodels, Scikit-learn, Matplotlib, and Plotly), or R (Dplyr, Lubridate, Tidyverse, and Ggplot2); developing, testing, and deploying production systems using Continuous Integration and Continuous Deployment (CI/CD) protocols; building Web applications using Python or R; and implementing best practices in using version control (Git, GitHub, Gitlab, or Bitbucket).
Bachelor's degree in Quantitative and Computational Finance, Computer Science, Accounting, Financial Mathematics, Actuarial Science, Statistics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing and deploying quantitative models and analytical solutions within a financial services environment, using Python, R, or SQL.
Implementing and deploying portfolio construction methodologies using Python or R; and developing applications using statistical models, quantitative methods, Machine Learning (ML), and optimization tools (CVXPY, Axioma, or CPLEX).

SmartExplore AI is experimental.