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Quantitative Research Analyst, Alpha Capture w/ J. Goldman &amp; Co., L.P. in NY, NY. Telecommuting permitted: wrk may be performed w/in normal commuting distance from the J. Goldman &amp; Co., LP. Office in NY, NY, 2 dys/wk. Responsible for deployg new strategies to productn, monitorg &amp; maintaing daily trading flows, validatg strategy &amp; trading output, identifying &amp; resolving issues or discrepancies in the tradg procss, implementg &amp; overseeg risk mgmt protocols, &amp; collaboratg w/ traders &amp; othr internl stakeholdrs. Positn reqs a Master's deg (U.S. or foreign equiv) in Fin, Math, Stats, Financl Engg or Comp Sci &amp; 2 yrs of exp in the job offerd or rel role. Must have 2 yrs of exp w/: Writing code in Python for quant research orproductn systms; Mng &amp; creatg quant portfolio trading strategies; Conductg quant research (runng &amp; analyzg research studies) incl signal research, stock selectn &amp; risk modelg; Constructg models &amp; signals to forecast returns; Rigorous stat testing; Researchg &amp; dvlpng analyticl tools rel to portfolio constructn &amp; optimizatn, performance measuremnt, portfolio analytics, attributn &amp; P&lt; Defing &amp; recommendg modl specs or data collectn methds; Conferrg w/ financl enginrs or analysts on tradg strategies, mkt dynamics, or tradg systm performance to inform dvlpmnt of quant techniques; Dvlpng core analytical capabilities or model libraries, usg advanced stat quant, or econometric techniques; Modifyg &amp; runng backtests of existg &amp; new tradg strategies; Assistg in productn of databases &amp; rebalancg of portfolios; &amp; Process of testg &amp; releasgcode changes to productn. Must have 1 yr of exp w/: Researchg factor timg signals; &amp; Mng &amp; creatg internal alphacapture tradg strategies QUALIFIED APPLICANTS: Email resumes to <a href="mailto:careers@jgoldmanlp.com" target="_blank">careers@jgoldmanlp.com</a> &amp; ref the job code "Quantitative Research Analyst, Alpha Capture" in the subject line.

Quantitative Research Analyst, Alpha Capture

Postdoctoral Faculty Fellows Liberal Studies -GLOBAL WORKS AND SOCIETY -WRITING New York University Arts &amp; Science &nbsp;
Liberal Studies at New York University invites applications for three Postdoctoral Faculty Fellow positions to begin September 1, 2026, pending administrative and budgetary approval.
The Liberal Studies Core is a dynamic liberal arts curriculum that provides a global and interdisciplinary foundation for nearly 100 NYU majors. The curriculum emphasizes conceptual and spatial frameworks to trace the movement of ideas and the interconnectivity of material culture, through the study of different texts, histories, exchanges, structures and systems, languages, arts, and writing from early antiquity through contemporary times. Small seminar-style classes and close faculty-student interaction ensure the benefits of a liberal arts college within a large urban research university. We are especially interested in hiring qualified candidates who can contribute through their research, teaching and service to the intellectual diversity and excellence of the Liberal Studies community.
Liberal Studies Postdoctoral Faculty Fellows teach two courses each semester in the Core Curriculum. Fellows work closely with an assigned Faculty Mentor, they attend pedagogy workshops that explore innovative approaches to interdisciplinary global teaching, and they have the opportunity to lead faculty development workshops or host program wide events in their area of scholarly, creative, or pedagogical expertise.The initial appointment is for one (1) year, and it may be renewed for two additional years, based upon satisfactory performance reviews and mutual agreement.&nbsp; Postdoctoral Faculty Fellows are limited to a maximum of three (3) years in rank; they are non-tenure track.
We seek applicants in the following areas:
GLOBAL WORKS AND SOCIETY (two positions)
PhD in Political Theory, Philosophy, History, or related fields in the social sciences. Candidates must demonstrate the ability to draw on ancient and early modern sources in their teaching with a global emphasis in the Global Works and Society sequence of the Core Curriculum. Candidates must embrace interdisciplinary and intersectional approaches from a variety of global perspectives and must have the ability to examine relationships of power and to interrogate the historical roots of current challenges.
WRITING (one position)
PhD in Writing Studies, Creative Writing, Nonfiction Writing, Rhetoric, Journalism, Translation Studies, TESOL, Applied Linguistics, or closely related field. Candidates should have a demonstrated ability to teach first-year writing in an interdisciplinary and global-focused LS Core Curriculum. Candidates with additional specialization in TESOL, science/environmental writing, and/or qualitative research writing are strongly encouraged to apply.
Minimum qualifications: Successful candidates must have a PhD conferred by the date of appointment, or have received the PhD no more than three years before the date of appointment. We are especially interested in qualified candidates who share Liberal Studies’ commitment to equity and inclusion and belonging, and who can contribute to the diversity of intellectual life in LS and NYU. Candidates must present demonstrated experience and commitment to interdisciplinarity, intersectionality, and a teaching approach informed by global perspectives. Commitment to excellence in undergraduate teaching required; some college-level teaching experience, and evidence of outstanding scholarship and relevant professional activity are desirable.
In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $60,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.
Applications include ONLY (1) a cover letter, (2) a current c.v.. Complete applications must be recorded by 11:59 p.m. Eastern Standard Time (US), November 15, 2025.&nbsp; Applications recorded after this deadline will not be considered.
Applicants may apply directly through the following links:
GLOBAL WORKS AND SOCIETY (two positions) <a href="https://apply.interfolio.com/174370" target="_blank">https://apply.interfolio.com/174370</a> WRITING (one position) <a href="https://apply.interfolio.com/174368" target="_blank">https://apply.interfolio.com/174368</a>
Liberal Studies sees equity and inclusion and belonging as essential to education and the development of leadership in a globally interconnected world. These values inform LS as a collegial and respectful environment for students, faculty and staff—with particular attention to improving the student experience. To learn more about the Liberal Studies commitment to equity and inclusion and belonging, please read here: <a href="https://liberalstudies.nyu.edu/student-life/global-inclusion.html" target="_blank">Global Inclusion</a>. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the Arts &amp; Science commitment to inclusive excellence, please read here: <a href="https://as.nyu.edu/departments/facultyexcellence.html" target="_blank">A&amp;S Inclusive Excellence</a>

Symphony Talent

Postdoctoral Faculty Fellows, Liberal Studies, GLOBAL WORKS & SOCIETY and WRITING

Quantitative Researcher - New York, NY. Apply quantitative/statistical, financial &amp; data analysis skills incl. estimation methods, time series analysis, stochastic modeling, statistical inference &amp; probabilistic approaches to research, formulate, design &amp; develop predictive quant financial investment models &amp; trading strategies for options. Minimum requirements: PhD in Math, Statistics, Physics, Operations Research or related quant field (OR in the alternative Master’s in same fields +3 years of experience in Quantitative Analysis positions) + knowledge of: probability, measure theory, linear algebra, statistical inference, stochastic calculus, time series analysis, numerical methods &amp; optimization; option finance knowledge incl. option pricing/volatility modeling theory &amp; price impact models; ability to simulate/implement trading algorithms with high frequency data; working with large datasets (&gt;= gigabyte); C, C++, Java, KDB+/Q or Python; ability to conduct research in a quant field of science as evidenced by publication (or presentation) of quant research in a peer-reviewed academic journal (or academic conference). Must pass company’s required skills assessment. Base pay: $165k-$325k/year (does not include other forms of compensation/benefits). Note Hybrid work attendance policy: In-office work required at below office address for collaboration days based on each team’s requirement; remote work permissible for remainder of same month. Send resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> or mail to TS/HR Dept, Two Sigma Investments, 100 Ave of the Americas, 16 Fl, NY, NY 10013. Reference Job ID 13340

Quantitative Researcher

<h3>Job Description</h3>
Job Description
We are seeking a Quantitative Researcher with 3+ years of experience to join a Systematic Macro Portfolio Manager at Capula. This is a high-impact role that sits directly within the PM’s investment group, with a particular focus on systematic strategies involving credit indices (e.g., CDX, iTraxx) and credit ETFs.
Key Responsibilities:
<ul>
<li>Develop and enhance models for relative value trading and alpha generation across credit indices and credit ETFs.</li>
<li>Analyse credit market dynamics, including spread behavior, roll-downs, and liquidity patterns.</li>
<li>Implement tools to support signal generation, factor decomposition, and portfolio risk attribution.</li>
<li>Work closely with the PM to evolve systematic frameworks and enhance trading decisions through robust quantitative insights.</li>
</ul>
What We Offer:
<ul>
<li>A high-impact role with direct visibility to the trading desk and influence on real-time decision-making.</li>
<li>An intellectually stimulating environment with a strong culture of collaboration and curiosity, where innovation and creativity are encouraged.</li>
<li>The chance to refine and expand your skills while contributing to critical decision-making processes, whilst contributing to trade generation and portfolio construction in a fast-evolving market landscape.</li>
</ul>
About You:
<ul>
<li>We are looking for individuals who thrive on intellectual challenges and enjoy applying their analytical skills to complex problems. You are curious, driven, and excited by the prospect of making a tangible impact in the world of quantitative finance.</li>
<li>If you are passionate about quantitative analysis, trading strategies, and financial modelling, we invite you to be a part of our forward-thinking team. This is your opportunity to grow professionally while working alongside some of the brightest minds in the industry.</li>
</ul>
Requirements
<ul>
<li>Have graduated with a masters or PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field)</li>
<li>A consistently strong academic record</li>
<li>Strong Maths foundations (probabilities, statistics, analysis, linear algebra) and solid Programming Skills</li>
<li>At least 3 years’ experience in quantitative research or strategy development, ideally within credit or macro trading environments.</li>
<li>Solid understanding of credit index products (e.g. CDX, iTraxx), credit ETFs, and related market structure.</li>
<li>Advanced proficiency in Python and experience working with time series and financial market data.</li>
<li>Master’s or PhD in a quantitative field (e.g., statistics, physics, applied mathematics).</li>
<li>Strong analytical thinking, problem-solving ability, and desire to partner closely with a fast-moving trading desk</li>
</ul>
Benefits
Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include:
<ul>
<li> A highly competitive base salary and discretionary bonus structure, reviewed annually </li>
<li> 20 days of paid annual leave, plus public holidays </li>
<li> Comprehensive medical and dental insurance, along with other core employee benefits </li>
<li> Exceptional training, mentoring, and staff development opportunities to support continuous professional growth </li>
<li> Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility </li>
<li> Onsite breakfast, lunch, and dinner provided daily in our employee restaurant </li>
<li> Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication</li>
</ul>

Macro Credit Quantitative Researcher

<h3>Job Description</h3>
Job Description
Applecart is the leading technology company creating a new category of "Decision Maker Marketing". The most important decisions are made by the hardest people to reach and influence. Historically, C-Suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-Suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them.
We are hiring Research Specialists in our New York City office.
About the Role
You will be responsible for supporting our Decision Maker Marketing platform. In this role, you will help in the delivery of best-in-class data and strategic tools to influential stakeholders in both the private and public sectors. You will work with our talented research team who impact outcomes and marketing for Applecart's high profile clients. This is an hourly (30+ hours per week with the possibility of overtime) position.
What You'll Do:
<ul>
<li>Assist staff with research tasks</li>
<li>Data entry and information management</li>
<li>Identify publicly available data sources</li>
<li>Contribute to internal development projects</li>
</ul>
Experiences and Capabilities You Bring:
<ul>
<li>Particularly sharp attention to detail</li>
<li>Exceptionally strong written and verbal communication skills</li>
<li>Strong interest in current events (including political and business affairs)</li>
<li>Comfort and confidence in problem-solving autonomously</li>
<li>Impeccable attention to detail and superior organizational skills</li>
</ul>
This is a hybrid role. Work from home or in the office on Monday and Friday, and in Applecart's New York City office Tuesday through Thursday. 
Compensation:
The hourly rate for this role is $25/hr. The pay rate provided for this role is specific to candidates located in the New York City area.
A few facts about us:
<ul>
<li>Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD. </li>
<li>Applecart is growing quickly — over the last 3 years, we've increased our bookings by 8X, grown our headcount by 4X, and we're cashflow positive. </li>
<li>Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher.</li>
<li>Our investors include Bain &amp; Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board.</li>
<li>Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.</li>
</ul>

Research Specialist

<h3>Job Description</h3>
Job Description
Overview:
We are conducting a research study aimed at improving smart glasses technology for people with disabilities, specifically those with hearing loss. We are looking for individuals with low to moderate hearing loss to participate and help us test and provide feedback on our smart glasses prototype.
Who We’re Looking For:
<ul>
<li>Adults (18 years or older) with mild to moderate hearing loss</li>
<li>Comfortable using wearable technology or open to trying it</li>
<li>Able to provide feedback and participate in a guided user experience session</li>
<li>No prior experience with smart glasses needed</li>
<li>Up to 3 hours of active commitment</li>
</ul>
What You’ll Do:
<ul>
<li>Wear and interact with a prototype of smart glasses</li>
<li>Complete tasks or activities while using the device</li>
<li>Share your experience and provide feedback in a short interview or survey</li>
</ul>
Why Participate:
<ul>
<li>Be part of a project that advances accessibility and inclusive technology</li>
<li>Your input will directly influence how we design assistive devices for the Deaf and hard of hearing community</li>
<li>Receive compensation for your time and effort</li>
</ul>
We would be happy to get to know you and your skills better and see how we can support each other's growth. 
Please apply and let's meet!

Research Participant - Smart Glasses Development

<h3>Job Description</h3>
Job DescriptionResponsibilities
<ul>
<li>Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact.</li>
<li>Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed.</li>
<li>Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring.</li>
<li>Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields.</li>
<li>Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems.</li>
<li>Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork.</li>
<li>Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels.</li>
<li>Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.</li>
</ul>
Requirements and Qualifications
<ul>
<li>PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred.</li>
<li>5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain.</li>
<li>2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams.</li>
<li>Expert level knowledge in Python and SQL for model development and statistical analysis.</li>
<li>Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li>
<li>Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure).</li>
<li>Strong foundation in data structures, algorithms, and optimization techniques.</li>
<li>Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools.</li>
<li>Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences.</li>
<li>Previous experience working inside innovative, high-growth environments is a plus.</li>
<li>Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.</li>
</ul>
Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere. 
<h3>Company Description</h3>
StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Manager, Machine Learning and Applied Science

<h3>Job Description</h3>
About the Company
Our client is a growing Alternative Investment/Financial Firm based in Midtown NYC seeking to add a Associate Director Economic Research to their growing NYC Team. Reporting to the Global Head of Economic Research and working closely with various other teams, this role will provide strategic and financial expertise to the businesses
 
 
 
Responsibilities
<ul>
<li>Develop and implement research to understand new markets and opportunities which</li>
<li>Design and implement a high-impact engagement strategy for sovereign wealth funds, public pension funds, and other asset owners and institutional investors.</li>
<li>Oversee analytical agenda, in partnership with other teams, analytics groups in other lines of business</li>
<li>Lead and analyze the production of the U.S. forecast including managing and maintaining the US Macroeconomic Model.</li>
<li>complement our existing business and create opportunities for growth</li>
<li>Conduct analysis of macroeconomic data, political developments and geopolitical news in key geographic areas</li>
<li>Keep abreast of theoretical and empirical developments,</li>
<li>Deliver custom solutions across a growing portfolio of strategic sites in key markets across the United States and beyond</li>
<li>Interpret their meaning for financial data points and presents findings to the Executive Team</li>
<li>Responding to Stakeholders internal queries about our economic outlook and forecasts would also be expected</li>
<li>Deliver bespoke research projects that influence executive decision-making across brand, product, institutional solutions, and affiliated distribution topics</li>
<li>Provide strategic insights and recommendations based on market research findings.</li>
<li>Identify areas of a case for development and strategizes and oversees complex analyses</li>
<li>Analyze large datasets to identify trends, risks, and opportunities in target markets.</li>
<li>Manage strategic projects to identify new business opportunities and support growth initiatives.</li>
<li>Collaborate with internal stakeholders to develop and implement market solutions.</li>
<li>Manage, update, maintain a set of recurring analytics packages</li>
<li>Support ad-hoc analysis to support team or business initiatives</li>
<li>Perform related duties as assigned.</li>
</ul>
 
 
 
Qualifications
 
 
<ul>
<li>7+ years of experience in Economic Services/ Consulting /Strategic Operations or a related field.</li>
<li>Strong and well-developed analytic, problem-solving and quantitative skill, with exceptional attention to detail.</li>
<li>Demonstrated people leadership / management.</li>
<li>Develop and implement operational strategies to support the business's growth and profitability objectives.</li>
<li>Exceptional project management and organizational skills.</li>
<li>Experience in performing complex problem solving and business trade off decision analysis.</li>
<li>Results-orientation with an ability to take initiative, execute and complete deliverables in a timely manner.</li>
</ul>

Associate Director - Economic Research (Buy-Side)

<h3>Job Description</h3>
Job DescriptionCompany Description 
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.
The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.
In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.
In 2021, Eurofins generated total revenues of EUR 6.72 billion, and has been among the best performing stocks in Europe over the past 20 years.
Job Description 
In this role, you will apply Biophysical analytical skills in biotherapeutic drug products characterization with focus on product robustness. You will be working in a collaboratively team environment to support both early and late stage formulation development
<ul>
<li>Execute&nbsp;assays such as MFI, SEC-MALS, Intrinsic Fluorescence, Infrared Spectroscopy, UV Circular Dichroism, DLS, and DSC to support the particle characterization and stability analysis</li>
<li>Created and maintained record of all experiment execution in Electronic Laboratory Notebook (ELN) adhering to Good Laboratory Practice and Good documentation practice (GDP)</li>
<li>Perform Safety Standard Testing of lab instruments and troubleshooting instrument errors</li>
</ul>
Qualifications 
Minimum Qualifications:
<ul>
<li>BS/MS in Biophysics, Biochemistry, Chemistry, Chemical Engineer, Biomedical Engineering, Pharmaceutical Sciences or related discipline</li>
<li>1 to 2 years of expertise in operating various Biophysical instruments including but not limited to HIAC,&nbsp;SEC-MALS, MFI, FTIR; good understanding of protein science, protein/peptide stability, and protein-protein interactions</li>
<li>Authorization to work in the United States indefinitely without restriction or sponsorship</li>
</ul>
 Additional Information 
This position is Full-Time,&nbsp;Monday - Friday, 8:00&nbsp;a.m. - 5:00&nbsp;p.m. Candidates currently living within a commutable distance of&nbsp;Rahway, NJ&nbsp;are encouraged to apply.&nbsp;Compensation range is between $24-25.50/hr considering experience.
<ul>
<li>Excellent full time benefits including comprehensive medical coverage, dental, and vision options</li>
<li>Life and disability insurance</li>
<li>401(k) with company match</li>
<li>Paid vacation and holidays</li>
</ul>
Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.

Biophysical Analytical Scientist

<h3>Job Description</h3>
Senior Quantitative Researcher (New York, NY): Work independently to research quantitative trading signals and strategies. Manage the implementation and deployment of automated quantitative portfolio construction and trading strategies. Analyze risk exposures of trading strategies. Perform regression and hypothesis testing. Program in Python and R. Utilize linear algebra and calculus. Utilize statistics and machine learning. Employ quantitative finance concepts, including valuation, trading, alpha decomposition, and optimal portfolios. Utilize numerical optimization techniques. Reqs. Master's degr + 1 yr of exp. Salary Range is $150,000.00 - $225,000.00/year. Email resume to <a href="mailto:HRRecruiting@bamfunds.com" target="_blank">HRRecruiting@bamfunds.com</a> or mail resume to Hannah Ogren, Balyasny Asset Management, L.P., 444 West Lake Street, 50th Floor, Chicago, IL 60606. Must Ref# DR-BAM-026. No phone calls.&nbsp; &nbsp;
JobiqoTJN. Keywords: Quantitative Researcher, Location: PECK SLIP, NY - 10060

469 Science Jobs in New York, NY 10007, USA