Domain - Retail and/or CPG domain Knowledge Retail Execution - Demand Forecasting/Inventory ... Qualifications Preferred MS or PhD in a quantitative discipline such as Statistics, Applied Math ...
Domain - Retail and/or CPG domain Knowledge Retail Execution - Demand Forecasting/Inventory ... Qualifications Preferred MS or PhD in a quantitative discipline such as Statistics, Applied Math ...
CCB Risk Program Associate
Wilmington, DE · On-site
$57K - $57K/yr
Medical
Retirement
D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ... In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost ...
CCB Risk Program Associate
Wilmington, DE · On-site
$57K - $57K/yr
Medical
Retirement
D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ... In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost ...
CCB Risk Program Associate
Wilmington, DE · On-site
$57K - $57K/yr
Medical
Retirement
D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ... In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost ...
CCB Risk Program Associate
Wilmington, DE · On-site
$57K - $57K/yr
Medical
Retirement
D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ... In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost ...
CCB Risk Program Associate
Wilmington, DE · On-site
$135K - $165K/yr
Medical
Retirement
D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ... In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost ...
CCB Risk Program Associate
Wilmington, DE · On-site
$135K - $165K/yr
Medical
Retirement
D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ... In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost ...
Algorithmic Execution Quant information
What is the difference between Algorithmic Execution Quant vs Quantitative Trader?
| Aspect | Algorithmic Execution Quant | Quantitative Trader |
|---|---|---|
| Primary Focus | Developing and implementing algorithms for trade execution to minimize market impact | Creating trading strategies to generate alpha and profit from market movements |
| Work Environment | Quantitative research teams, trading desks, technology-driven | Trading floors, portfolio management teams, research departments |
| Required Skills | Programming, market microstructure, execution algorithms | Quantitative modeling, market analysis, strategy development |
While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.
What are the key skills and qualifications needed to thrive as an algorithmic execution quant, and why are they important?
To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.
What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?
Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.
What does an algorithmic execution quant do?
An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
What are popular job titles related to Algorithmic Execution Quant jobs in Delaware?
For Algorithmic Execution Quant jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Delaware look for?
The top searched job categories for Algorithmic Execution Quant jobs in Delaware are:
What cities in Delaware are hiring for Algorithmic Execution Quant jobs?
Cities in Delaware with the most Algorithmic Execution Quant job openings:
Job description
Company Description
Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.
Job Description
Position: 1
Job Title: Analytics - Principal Consultant
100% Travel
Duration : Full Time Permanent
Qualifications Basic
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Must Have Skill/Competency:
Domain - Retail and/or CPG domain Knowledge
Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting
Data Understanding of Sales, Inventory, Store, Product and Promotion Data
Ability to translate business requirement to analytical model
Communicate directly with business users
Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview
Nice to have Skill/Competency:
Hadoop, Spark, Python
Tableau/Spotfire/Qlikview
Nielsen/IRI/Market Research Data understanding
Job responsibilities:
Understand business requirement from client and translate it to appropriate Analytics use cases
Work in a team environment to deliver analytics solution to client
Define new business metrics as required and build measurement systems as needed
Enjoy designing, develop and deploy state of the art, data-driven predictive models
Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling,
Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
Position: 2
Job Title: Analytics - Data Scientist - Architect
100% Travel
Duration : Full Time Permanent
Skillset: Analytics ,
Domain: Business Intelligence
Qualifications Basic
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Qualifications Preferred
MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software
Knowledge of Perl, Python or Ruby; experience with Java, C or C++
Experience with Apache Spark and Scala
Knowledge of Clojure or Julia for statistical learning and optimization algorithms
Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc.
Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing
Job responsibilities
Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
Define new business metrics as required and build measurement systems as needed
Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.
Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Additional Information
All your information will be kept confidential according to EEO guidelines.
About Implify
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
11 - 50 Employees
Headquarters location
Newark, DE, US
Year founded
2006