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Systematics Jobs (NOW HIRING)

Quanta Search

Systematic Quant Researcher

New York, NY · On-site

Our clientis a systematic asset management company utilizing cutting edge technology, data and people seeking to generate exceptional risk adjusted returns for theirinvestment partners. Theirteam ...

Wolverine

Systematic Options Trader

Chicago, IL · On-site

Proven track record of driving improvements on a systematic market-making desk or semi-systematic volatility trading desk--preferably at a top-tier market-making firm. * Exposure to and a deep ...

Loomis Sayles

Systematic Credit Strategist

Boston, MA · On-site

$130K - $250K/yr

About the Role We are seeking a Systematic Credit Strategist to join the Systematic High Yield team within the Alpha Strategies Group. This is an opportunity to play a meaningful role in an ...

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How much do systematics jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for systematics in the United States is $73.70, according to ZipRecruiter salary data. Most workers in this role earn between $67.31 and $84.38 per hour, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In the field of systematics, high-paying roles such as senior research scientists, university professors with extensive experience, or executives in biotech companies can reach or exceed $1,000,000 annually through salaries, bonuses, and royalties. These positions typically require advanced degrees, specialized expertise, and often involve leadership, research funding, or intellectual property rights.

What jobs pay 10,000 a month without a degree?

In the field of systematics or related scientific roles, most positions require advanced degrees; however, some high-paying jobs in technology, sales, or entrepreneurship can reach or exceed $10,000 per month without a degree. These often involve skills like coding, digital marketing, or sales expertise, and may require certifications or experience rather than formal education.

What jobs pay $2000 a day?

High-paying jobs related to systematics, such as specialized consultants, senior researchers, or industry experts in fields like taxonomy, biodiversity, or conservation, can sometimes earn around $2000 per day, especially with extensive experience or consulting roles. These positions often require advanced degrees, specialized skills, and a strong reputation in the field.

What is the difference between Systematics vs Taxonomist?

AspectSystematicsTaxonomist
Required credentialsBachelor's or Master's in Biology, Ecology, or related fields; often includes training in classification and phylogeneticsBachelor's or Master's in Biology, Botany, Zoology, or related fields; specialized in species identification and classification
Work environmentResearch labs, fieldwork, museums, academic institutionsResearch labs, museums, fieldwork, environmental agencies
Industry usageUsed broadly in biological sciences, ecology, conservationPrimarily in taxonomy, biodiversity studies, conservation projects

Systematics and Taxonomist roles overlap in classification and identification of species, but systematics encompasses broader evolutionary relationships and phylogenetics, while taxonomists focus on species description and classification. Both roles are essential in biological research and conservation efforts.

What are systematists and what do they do?

Systematists are scientists who study the diversity of organisms and their evolutionary relationships. They classify and name species, often using morphological, genetic, and ecological data to understand how different organisms are related. Systematists play a crucial role in organizing biological information, which helps in fields like conservation, agriculture, and medicine. Their work often involves field research, laboratory analysis, and the use of computational tools to construct evolutionary trees.

What jobs pay $500,000 a year in the US?

In the field of systematics, high-paying roles such as senior research scientists, university professors with extensive experience, or executives in biotech companies can reach or exceed $500,000 annually, especially with bonuses and stock options. These positions typically require advanced degrees, specialized skills, and significant experience in biological classification, taxonomy, or related research environments.

What are some common challenges faced by professionals working in systematics, and how can they be addressed?

Professionals in systematics often encounter challenges such as managing large and complex datasets, staying current with evolving classification methods, and integrating molecular and morphological data. Collaboration with bioinformaticians, regular training on the latest analytical tools, and participation in professional networks can help address these issues. Additionally, effective communication with colleagues in related fields ensures consistency in taxonomy and supports robust research outcomes.

What are the key skills and qualifications needed to thrive as a Systematics (Taxonomist), and why are they important?

To excel as a Systematics (Taxonomist), you need a strong background in biology, taxonomy, and evolutionary relationships, usually supported by an advanced degree in biological sciences. Familiarity with laboratory techniques, molecular data analysis, and software like phylogenetic tree builders (e.g., MEGA, PAUP*) is essential. Analytical thinking, attention to detail, and effective communication skills help in interpreting data and collaborating with research teams. These competencies are crucial for accurately classifying organisms, advancing scientific knowledge, and informing conservation efforts.
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Systematics jobs near you

Head of Systematic Credit Trading Technology

Societe Generale

New York, NY

Other

Posted 13 days ago

Job description

DIVISION DESCRIPTION: 


Global Banking and Advisory (GLBA) combines recognized wholesale coverage with world-class product, financing, and advisory expertise within one team, enabling us to best support our clients. On the one hand, our transversal, product-neutral coverage teams span all businesses to promote the bank's products and services to our clients globally, and on the other, we provide world-class capital raising, financing and advisory expertise.

We are seeking an experienced Systematic Trading Systems Strategist / Head of Algorithmic Trading Technology to lead the design and development of a next-generation systematic trading platform focused on U.S. investment-grade corporate credit.  This role sits at the intersection of quantitative research, trading, and technology, with a mandate to scale real-time trading capabilities across cash bonds, ETFs, and credit derivatives. The position is highly cross-functional and involves close collaboration with global teams to build a consistent and scalable systematic framework across regions.

Responsibilities: 
You will lead the end-to-end build-out of a systematic trading platform for spread-based investment-grade corporate bonds in the U.S., developing scalable infrastructure across signal generation, pricing, execution, portfolio construction, and risk management. This includes integrating relative value, liquidity, and pricing analytics into trading workflows.


You will work closely with global technology, quant, and trading teams to align development efforts, ensuring the platform reflects regional differences in market structure, liquidity, regulation, and data availability. You will also establish coordination frameworks and development standards to promote consistency across geographies while allowing for localized model calibration and execution approaches.

A central aspect of the role will be the development of real-time signal optimization and pricing frameworks, enhancing price formation through dynamic fair value models, liquidity-aware adjustments, and execution-sensitive signals embedded directly into trader decision-making tools.


You will develop portfolio trading and risk optimization capabilities to support efficient basket execution across credit markets, alongside robust hedging frameworks spanning factor-based, spread-based, and cross-asset strategies using ETFs, CDS, and indices. This includes implementing constraint-aware portfolio optimization and building technology supporting ETF primary market activity, including basket construction, pricing, creation/redemption workflows, NAV alignment, and arbitrage identification.


In parallel, you will build tools to identify, test, and deploy systematic strategies across a broad product universe, including single bonds, ETFs, CDS/CDX, and credit derivatives, supporting relative value, basis, arbitrage, and volatility-driven approaches.


You will also design and enhance execution strategies tailored to fixed income markets, addressing fragmented liquidity and RFQ-driven workflows, while improving performance through data-driven analytics, feedback loops, and transaction cost analysis, including portfolio-level execution for basket and ETF-related flows.

Skills and Qualifications:

The ideal candidate brings significant experience in systematic or algorithmic trading, with deep expertise in fixed income markets, particularly investment-grade credit, credit derivatives, and ETF market structure. Experience with portfolio trading, ETF primary market mechanics, or relative value strategies is highly valued, as is the ability to operate effectively in a global, cross-functional environment.


You have 8 years of experience in systematic/algorithmic credit trading and related quantitative strategy and systems development. 

You have a strong track record of building real-time trading systems or algorithmic platforms, along with solid programming skills (Python, C , or Java) and a strong foundation in quantitative methods, portfolio construction, and optimization.
You hold an advanced degree in computer science, engineering, quantitative finance, mathematics, or related field.

               

Must Have:

Advanced degree in Computer Science, Engineering, Mathematics, Finance, or related field.

8-15 years of experience in systematic trading, algorithmic trading, or quantitative strategy development.

Deep knowledge of fixed income markets, particularly, investment grade corporate bonds, credit derivatives (CDS/CDX), fixed income ETFs and ETF mechanisms (create/redeem)

Proven experience building real-time trading systems or algorithmic platforms.

Ability to translate quantitative insights into production-grade systems.

Strong understanding of cross-asset linkages (cash bonds, ETFs, derivatives).

Excellent cross-functional communication skills.

Strong problem-solving capability in complex, real-time environments.

Nice to Have:

Familiarity with machine learning applications in trading and signal generation.

Prior leadership experience in a global, multi-team environment.
Proficiency in French. 
Series 7, 63, and 57.

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