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Associate Quantitative Analyst Jobs in Peekskill, NY

New York Life

AI Product Insights Analyst

White Plains, NY · On-site

$189K - $230K/yr

... Associate, or related occupation, designing AI analytics, applied machine learning, or data-driven product strategy. Prior experience must include the following skills (quantitative experience ...

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All JobsAssociate Quantitative Analyst JobsAssociate Quantitative Analyst Jobs in Peekskill, NY

Associate Quantitative Analyst information

See Peekskill, NY salary details

$3.4K

$6.6K

$9.4K

How much do associate quantitative analyst jobs pay per month?

As of Aug 13, 2026, the average monthly pay for associate quantitative analyst in Peekskill, NY is $6,573.50, according to ZipRecruiter salary data. Most workers in this role earn between $5,966.67 and $7,008.33 per month, depending on experience, location, and employer.

What are some common challenges an associate quantitative analyst faces when transitioning from academia to industry?

One common challenge for Associate Quantitative Analysts moving from academia to industry is adapting to the fast-paced, results-driven environment where deadlines and business impacts are prioritized over theoretical exploration. Unlike academic research, industry projects often require quick, practical solutions and effective communication with non-technical stakeholders. Additionally, analysts may need to balance multiple projects simultaneously and collaborate closely with teams such as risk management, IT, and trading desks. Developing strong project management and communication skills can help ease this transition.

What is the difference between Associate Quantitative Analyst vs Quantitative Analyst?

AspectAssociate Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's degree in finance, mathematics, or related field; some roles may require a master'sBachelor's or master's degree in quantitative fields; often more experience required
Work EnvironmentEntry-level position in finance or investment firms, supporting senior analystsMid-level role, involved in developing models and strategies in finance firms
Employer & Industry UsageCommon in asset management, hedge funds, investment banksUsed across similar financial institutions, often as a step toward senior roles

The Associate Quantitative Analyst typically holds an entry-level position with a focus on supporting quantitative teams, while a Quantitative Analyst usually has more experience and takes on more complex modeling tasks. Both roles are essential in financial analysis, but the associate role often serves as a stepping stone to becoming a full Quantitative Analyst.

What are the key skills and qualifications needed to thrive as an associate quantitative analyst?

To thrive as an Associate Quantitative Analyst, you need strong analytical skills, advanced proficiency in mathematics and statistics, and typically a degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python or R, experience with statistical modeling tools, and knowledge of data analysis platforms are commonly required. Attention to detail, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These skills are crucial for developing accurate models, providing actionable insights, and supporting data-driven decision-making in complex financial environments.

What does an associate quantitative analyst do?

An Associate Quantitative Analyst is responsible for applying mathematical, statistical, and analytical methods to financial and risk management problems. Their tasks often include building financial models, analyzing large datasets, and supporting senior analysts or portfolio managers with data-driven insights. They typically use programming languages like Python, R, or MATLAB to develop algorithms and test investment strategies. Associate Quantitative Analysts play a crucial role in helping organizations make data-informed decisions in areas such as trading, asset management, and risk assessment.

What cities near Peekskill, NY are hiring for Associate Quantitative Analyst jobs?

Cities near Peekskill, NY with the most Associate Quantitative Analyst job openings:

Associate Quantitative Analyst jobs near you
Infographic showing various Associate Quantitative Analyst job openings in Peekskill, NY as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $78,882 per year, or $37.9 per hour.

Associate, Quantitative Power Analyst

Castleton Commodities International LLC

Stamford, CT • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Castleton Commodities International is seeking a Quantitative Power Analyst to provide in-depth analysis of the US energy markets, with a specific focus on Power, Natural Gas, and Renewables. The Quantitative Power Analyst will create, maintain, and enhance fundamental supply and demand models, power flow models, and pricing models that deliver actionable insights to the trading teams. This opportunity offers meaningful exposure to US energy trading operations and the potential to develop toward risk-taking responsibilities.

Responsibilities:

  • ConductresearchandanalysisofthePower,NaturalGas,andRenewablemarketstodirectlysupporttradingactivities.

  • Reportandcommunicatedatatobothresearchanalystsandrisktakers,exploringrelationshipsbetweenpriceandfundamentals

  • UtilizeDayzersoftwaretobuild,maintain,andanalyzepowerflowmodelsforPJMandERCOT,incorporatingassumptionsrelatedtogeneration,load,outages,transmissionconstraints,congestion,renewableoutput,andmarkettopology.

  • AnalyzeDayzermodeloutputstoevaluatecongestion,locationalmarginalpricing,basisrisk,transmissionconstraints,andothermarketfundamentalsrelevanttotradingstrategies.

  • SupportscenarioanalysisusingDayzerandotheranalyticaltoolstoassesstheimpactofchangingmarketconditions,generationavailability,fuelprices,transmissionoutages,renewableoutput,andloadforecasts.

  • Performad-hocanalysesfortradeideasandotherprojects.

Qualifications:

  • Bachelor's degree in Physics, Computer Science, Engineering or a related field.

  • 2+ years of experience in a Desk Analyst role covering North American Power & Natural Gas markets.

  • ExperienceusingDayzerSoftware,orcomparablepowermarketsimulation softwaretosupportanalysisofPJM & ERCOT Power markets.

  • Ability to solve loosely defined complex problems with minimal supervision.

  • Proficient in a variety of programming languages (e.g., Python, SQL, etc.) and experienced in programming within an organization with a strict version control culture.

  • Demonstrated passion for markets, modeling, and the energy industry, with a dynamic approach to learning and expanding technical knowledge.

  • Proven ability to communicate effectively and execute projects in a team environment.

  • Must be able to work effectively in a fast-paced, dynamic and high-intensity environment including open-floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required.

Employee Programs & Benefits:

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:

  • Competitive comprehensive medical, dental, retirement and life insurance benefits

  • Employee assistance & wellness programs

  • Parental and family leave policies

  • CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.

  • Charitable contribution match program

  • Tuition assistance & reimbursement

  • Quarterly Innovation & Collaboration Awards

  • Employee discount program, including access to fitness facilities

  • Competitive paid time off

  • Continued learning opportunities

Visit https://www.cci.com/careers/life-at-cci/# to learn more!

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