Opinion Has No
Chain of Command
We value reasoning over position, appreciate candidness and audacity, and encourage independent decision-making.
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How we started our journey.
In 2014, after nearly a decade of developing high frequency trading systems, Chris and Yuri felt the pain of sourcing high quality data for research and backtesting. Data from top vendors was like an expensive house with seemingly marvelous facade but rudimentary inside, full of missing, broken pieces upon close inspection.
“We can do better.” Chris and Yuri said.
The following year, Equity Trade and Quote (TAQ) Minute Bar, our first dataset with over 60 data points, was born. It quickly won adopters because quants found out, for the first time, instead of writing software to process raw tick data by themselves and dealing with quality control, they had an option. algoseek Minute Bar provided the information they needed to decipher markets and backtest trading strategies, such as buy-driven volume and sell-driven volume, FINRA and non-FINRA, and VWAP/TWAP among many others. No quant had expected such a thorough dataset directly from a data vendor.
By 2017, our products had expanded to include aggregated futures and options data. In 2018, after a whole year of developing and testing, algoseek launched Equity Reference Data with Security Master File and Corporate Event History, new products now used by most rigorous firms.
Today, algoseek has served more than 450 clients around the world. We are proud to have more than 110 datasets with a collective size of 3,000 terabytes and growing.
In six years, we have become the No. 1 intraday market data provider for quantitative firms.
Going forward, we will add Forex, Cryptocurrencies, SQL queries, and global data in 2020 and beyond. We will continue to grow our data service and customization capabilities to become the one-stop data solution provider for the capital markets.
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2014
INCEPTION
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2015
LAUNCH THE FIRST DATASET
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2016
CELEBRATE THE 100TH CLIENT
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2017
ADD AGGREGATED OPTIONS DATA
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2017
ADD AGGREGATED FUTURES DATA
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2018
CELEBRATE THE 300TH CLIENT
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2019
ADD REFERENCE DATASETS
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2020
CELEBRATE THE 500TH CLIENT
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algoseek’s vision is to become The Market Data Company - the synonym of market data in quants’ dictionary - by reinventing market data, and the data partner to our clients by providing data management services.
With the emergence of quantitative trading combined with the growth in machine learning, the capital markets are becoming exponentially more data-hungry. But people’s eyes are mostly cast on so-called alternative datasets and traditional data vendors still provide market data as it was done 20 years ago.
In algoseek, we have set our minds to reinvent market data. Our trading background helps us build a common language with quants and algo traders, understand what they do, what they need, their troubles, their concerns, and their pain points, and develop market data that meets these needs. Currently, algoseek has the most detailed and comprehensive intraday market data products in the financial data industry.
algoseek’s rich experience in data wrangling and transforming, quality assurance, cutting-edge software design, and advanced cloud-based infrastructure allow us to provide data customization and management services to our clients. By subscribing to algoseek data management service, our clients receive the ready-to-use data directly from algoseek to streamline business processes and focus on core competitiveness.
Focus on what matters most to you, and leave data to algoseek.
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algoseek’s mission is to provide our clients with the highest quality, most accurate, ready-to-use data in the financial data industry.
It is a hard mission to meet the demands of a wide range of clients. It requires an in-depth understanding of various securities, quantitative trading, algorithm development, transaction cost analysis, compliance, and other intricacies. It takes technological strength and advanced infrastructure to support on-demand data processing and flexible delivery. And it needs good management to swiftly respond to clients' requirements and market needs.
It is the mission impossible to provide impeccable data. For aggregated data and reference data, it just happens: raw information is missing or blurry; information from different sources conflicts; classification criteria are ambiguous; humans make mistakes; machines make mistakes......
Coding is easy, data is hard; Math is neat, data is messy; Trading is exciting, data is grinding.
algoseek has developed sophisticated quality assurance (QA) software to monitor the end-to-end data processing from receiving raw data from sources to delivering data to clients. algoseek QA team examines data files multiple times a day to spot and deal with missing and duplicate data, conflicting information and outliers. It is a laborious routine and we do it with great attention to detail and a strong sense of responsibility.
Nobody can deliver perfect data, but we promise to provide the best quality data in the financial industry to our clients. We’ll fight against carelessness and inertia as did Don Quixote and never let our pursuit of impeccable quality be worn down by the grind of data processing and wrangling.
Every day, algoseek takes pride in the fact that our clients rely on our data for their trading decisions and research results. We are grateful for their trust and never take this responsibility lightly.
It is our mission to help clients focus on their core businesses and leave data to algoseek.
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We are a bunch of nerds,
and we are fun to work with.-
Chris "the Captain N.I.T."
CEOWith over ten years of experience in building quantitative trading and algorithmic systems and deep insight, Chris is our captain. He leads us by always thinking for us: not only our present, but also our future.
He never blames us when we disappoint him, but there's the deep, deep sadness in his eyes that breaks our hearts. Sometimes he micro-manages because he is concerned to make every detail accurate. He says "Nothing Is Trivial" every time, so we call him our Captain N.I.T.
We all work hard to not fail him.
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Yuri "Spock"
CTOYuri’s a seasoned data expert; He’s a genius. He used to build great trading systems, now he is building great data products.
He’s not distant. He’s just nerdy. He is mind-melded with all our software and scripts.
Now with our team growing, he takes the challenge to manage a whole R&D team and mind meld with humans.
We give him our unwavering support. After all, we are all nerds and weirdos. We are a team.
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Rakshit "the Thinker"
FinanceRakshit had been giving us financial advice, and officially became our CFO when, with our growth, we need more and more his time and devotion.
In Rakshit, the combination of CPA & CFA background with Deloitte working experience has created a meticulosity monster. As a number guy, his footprints are not limited to finance. He likes to model everything: sales process, client journey, support tickets, QA…and turns our performance into colorful charts for analysis and comparison. He sees things we don’t usually see, from the angles we don’t usually take, and gives us suggestions.
He loves meditation. He said when you shut out noises, truth revealed itself.
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Dan "the Capitalist"
SalesEvery customer request is large and urgent; Every customer complaint is declared as national emergency; Every customer commitment is sacred as the Constitution.
Under the name of customers, Dan constantly demands speed and squeeze efficiency out of us. He's the "mean capitalist" among us.
He owns us.
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Mikha "the Agriculturist"
SalesMikha is a young lass with big dreams and aspirations for the future. She has a green thumb and hopes to have a farm.
Most people perceive her as meticulous, frank, but possesses the “it” personality. Her fascination for planting reflects on how she encourages people to achieve their fullest potential.
Nothing motivates her more than cultivating new and fresh ideas and seeing it materialize like a seedling growing into a beautiful plant.
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Taras "the Astronomer"
Production EngineerTaras loves stargazing. The speed he grew from astrophysicist into a production expert is amazing.
He said the countless tickers are like countless stars in the night sky; when he gazes at them, he feels himself connected to the universe.
He is our "astronomer".
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Vasyl "Q"
Data EngineerVasyl is a Ph.D. in Quantum Statistics, and we joked that the computing capability of his head is as powerful as IBM Q, the quantum computer. He loves to explore lattice systems.
He is very excited about building software to explore data and believes he can help our clients to find quantum effects in it.
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Jeremy
Data EngineerWe all have some sort of high degree related to computer, math or finance, yet Jeremy has two degrees covering all the three areas: a B.S. in computer science and a Ph.D. in mathematical finance.
He could have become a quant. Yet to him, the life of a quant is to conquer, and the life of a data engineer is to nurture. So he chooses to nurture over to conquer.
Nothing gives him more joy than the fact that clients trust our data in their research, trading and portfolio management.
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Peter Falco "Falcon"
Software DeveloperPeter was initially a client. He joined algoseek because working with us provides him freedom.
He’s a passionate developer, a born problem solver. We asked him what it felt like to connect to the world through lines and lines of codes. He thought for a while and said it was probably like a falcon hovering in the sky, observing and contemplating, then diving towards a chosen target.
C.S. Lewis said, “the price of freedom is loneliness”. Yet Peter argued that the freedom in loneliness is nothing but unbearable lightness. He’s happy to be tied to us and our clients and feels true freedom in responsibilities.
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General Alisha
Quality EngineerAlisha is a general. She recruits and commands the algoseek Simian army.
She describes herself as a pessimistic optimist, an extrovert introvert, a cooperative nonconformist, and most importantly, a pragmatic dreamer.
We hired her when we had our first client using algoseek’s equity TAQ minute bar to manage their over $100 million quant fund. Now we are all under her command.
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Miao "Doraemon"
Strategy & MarketingAfter eight years working in Huawei including R&D, marketing and sales, Miao joined us with her deep insights and novel approaches.
She is everywhere: develop strategy, design organization, shape culture, refine business processes, improve client communication, etc.
She is Doraemon with the magic pocket, and she never runs out of battery.
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Jodhie "Marco Polo"
CommunicationArmed with a Bachelor's degree in Communication and Media Studies, Jodhie is a talented young lady with hands-on experience in digital content creation and client communication.
She is simply not a 9 to 5 kind of person. Often daydreaming about getting lost in unfamiliar places, she is a free-spirit who constantly seeks exciting adventure and aspires to live out of a suitcase, leading a nomadic life.
Invisible Cities by Italo Calvino is her all-time favorite book. Once during our team building activity, we asked her which person in history she would like to become, and her answer was Marco Polo.
Her inner drive for novelty and creativity constantly motivates her to seek new experiences and conquer challenges. In the future, we hope she can perform missions for us across the whole world as we set our eyes on making our mark on a global scale.
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Opinion Has No
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Freedom and
ResponsibilityPower and freedom are earned by winning trust and taking responsibility.
Find Job Opportunities
by Category- Development
- Marketing
- Sales
- Financial
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Senior C++ System Developer
We are seeking a strong C++ Developer who will focus on maintaining algoseek ticker plant software and NY4 co-lo servers. The Systems Developer will occupy a position at the center of the algoseek’s data collection. This person must have experience building large-scale production systems, high-performance trading applications, and driving improvement in all levels of the technology stack.
Responsibilities:
- Maintain software architecture of algoseek ticker plant and co-lo servers
- Design, develop and implement performance and quality modules together with Quality team
- Dive into the low-level details, solve problems and fix bugs at the request of Support team
- Upgrade the ticker plant and co-lo servers to meet future changes and needs
- Develop and maintain documentation
Essential Requirements:
- Degree in Computer Science, Software Engineering, EE or similar
- Minimum of two years developing low latency C++ applications
- Proficiency in advanced C++ (’11/14) including proficiency with STL, TMP, Boost, and type safety
- Proficiency in advanced data structures, algorithms, OO programming, and computational complexity
- Proficiency in Software Engineering including design/requirement specs, testing, QA, release
- Experience with low-level system facilities: threading, I/O, signals, shared memory, VM, VFS
- Experience in distributed computing including exchange topology, market gateways, and SORs
- Knowledge of TCP/IP, UDP, and network topology; experience with socket programming
- Knowledge of exchange connectivity, data management, and ticker plant
Desirable Requirements:
- Graduate degree in Computer Science, Software Engineering, EE, or similar
- Knowledge and familiarity with exchange protocols FIX, ITCH, PITCH, OUCH, and related
- Low-latency: hardware/bios tuning, NUMA aware, multi-threaded design, lock-free programming
- Low-latency: compiler and cache optimization, user-space networking (kernel bypass), IPC/RPC
- Experience in programming/system tools; svn, gdb, valgrind, tcpdump, strace, systemtap, and more
- Experience with designing simulation and back-testing frameworks and research infrastructure
- Hardware knowledge and/or FPGA experience
Advantages:
- Awesome coworkers
- Pre-tax health care, dependent care and commuter benefits (FSA)
- Robust wellness program including financial education classes, team-based goal-tracking
- Competitive medical, dental, vision, life insurance & disability coverage
- Opportunity to be an owner in the company with stock awards and ESPP
- 401k Retirement Plan (Roth and Pre-Tax options available)
Data Science Engineer
algoseek is growing fast. Really fast. We are set to re-define the financial market data industry, and we expect you to join us in this exciting journey.
As a Data Science Engineer in Content Engineering, you will be responsible for automating our data acquisition, quality assurance, content creation and analytics in a scalable cloud environment. You will leverage these large data sets to improve the quality and extend the scope of algoseek’s existing and next generation products.
Responsibilities:
- Ingest and analyze various data sources to drive innovation in content creation
- Automate the acquisition, relevance scoring and storage of incoming sources
- Develop processes for data mining, data concordance and data production
- Explore and evaluate new data technologies to build a scalable, cloud oriented data platform
- Optimize data retrieval, develop dashboards and other visualizations for financial experts
Essential Requirements:
- BS or MS in Computer Science or Mathematics
- 2+ years of working experience in software development
- Experience in data engineering or business intelligence or business analytics
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Strong analytic skills related to working with unstructured datasets
Desirable Requirements:
- Strong experience and proficiency with Python, Pandas, Numpy and AWS APIs
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
- Experience with modern data platforms such as Spark, Hadoop or other map/reduce big data systems and services
- Experience with a variety of data stores such as ArangoDB, MongoDB, Cassandra, HBase, DynamoDB
- Experience with AWS environment e.g., Amazon Kinesis, AWS Glue, Redshift, EC2, S3, EMR
Advantages:
- Awesome coworkers
- Pre-tax health care, dependent care and commuter benefits (FSA)
- Robust wellness program including financial education classes, team-based goal-tracking
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Digital Marketing/Growth Manager
algoseek is a fast growing FinTech. We are set to re-define the financial market data industry, and we want you to join us in this exciting journey.
As the digital marketing and growth manager, you will oversee company-wide content creation and digital marketing.
You MUST have experience in Capital Markets and knowledge of either financial market data or quantitative/algorithmic trading.
You will lead a small team to grow our online presence, including but not limited to outbound email marketing, Google Adwords, blog articles, forum posts, news articles, social networks (Linkedin and Twitter). You will communicate with our existing and potential clients through newsletters and email campaigns then monitor and analyze the effectiveness of marketing campaigns and keep making improvements.
You will also be responsible for co-ordinating with our sales team on important client communication, as well as influencing and making the business case for strategic and product roadmap decisions.
At its core, you will become our short and long-term growth engine and help lead our business to a new level.
This will be a great opportunity to join a fast-growing US Fintech technology firm and grow together with us.
This is a full-time remote job. You have the flexibility to arrange your own working hours, but need to overlap your working time with US east coast business hours from at least 7am to 3pm EST.
Please provide three examples of your previous work as links or attachments.
Please visit http://www.algoseek.com/company for more information about our company and our culture.
Responsibilities:
- Oversee company-wide content creation, including but not limited to client presentations, documentations, company website, newsletters, outbound emails, advertisement, forum posts
- Design, plan and execute marketing campaigns, evaluate effectiveness, and make improvements
- Google Adwords and SEO
- Website management, traffic analysis, and client activity analysis
- Create and run monthly newsletters
- Writing algoseek blogs
- Support sales team with VIP clients communication and presentation
- Influence and make the business case for strategic and product roadmap decisions
Qualifications:
- Minimum of 3+ years of digital marketing experience in financial data or related industry with a successful career track record
- Management and decision-making experiences of leading a small team
- Strong logical thinking and analyzing capability
- Strong content creation capability (in English)
- A soul of intellectual curiosity and problem-solving spirit
- Fast learner with a sharp mind- quickly build mental model from massive information and find out nitty-gritty
- Experience and understanding in the capital markets industry- especially algorithmic trading, systematic trading or intraday market data.
- Bachelor's/PG Degree in marketing-related or quantitative-finance-related field, including business, marketing, communications, economics, financial engineer, etc./li>
Benefits:
- Opportunity to participate equity options plan and annual bonus
- Awesome coworkers- fun, supporting and challenging at the same time
- Flexible work hour and the convenience of working from home
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Data Sales Engineer
As a Sales Engineer, you will work alongside the account team to define and expand revenue opportunities, and ensure the solution is ready for deployments. You also act as a critical liaison between Sales and Product; sharing customer feedback with the Product Management, Operations and Engineering functions.
Are you curious, passionate about problem-solving and love working with leading-edge technology? Then we want to talk to you.
Responsibilities:
- You research, explore and identify client data problems
- You evangelize algoseek data products with creativity
- You prioritize opportunities and operate as the technical quarterback for internal resources
- You influence and make the business case for product roadmap decisions
Qualifications:
- 4-year degree or equivalent work experience required
- Natural curiosity, and desire to solve problems
- Prior successful financial data sales experience or experience in a customer-facing financial technology role
- Stellar interpersonal skills and strong team values
Advantages:
- Awesome coworkers
- Pre-tax health care, dependent care and commuter benefits (FSA)
- Robust wellness program including financial education classes, team-based goal-tracking
- Competitive medical, dental, vision, life insurance & disability coverage
- Opportunity to be an owner in the company with stock awards and ESPP
- 401k Retirement Plan (Roth and Pre-Tax options available)
Account Manager
algoseek is growing fast. Really fast. We are set to re-define the financial market data industry, and we just celebritied our 500th client in January 2020.
As a account manager, you will oversee a portfolio of assigned customers, create long-term, trusting relationships with our clients, and develop new business from existing clients and actively seek new sales opportunities.
In your daily job, you will act as client advocates and work with our R&D, Support and Marketing team to ensure that client needs are understood and satisfied. You will assist with making sales, handling client complaints, collecting and analyzing data, and improving the overall customer experience.
Responsibilities:
- Demonstrate deep understanding of the customer decision maker’s strategies, priorities and needs
- Maintain solid understanding of algoseek propositions to initiate conversations and raise interest
- Build and embed a long term trusted advisor relationship within your accounts
- Drive growth by expanding algoseek footprint within your accounts
- Focus on maintaining overall customer engagement and expanding and retaining managed net revenue
- Oversee all commercial activities within accounts, owning the end to end customer relationship
- Manage internal and external stakeholders and maintain networks to negotiate and close deals
- Accountable and responsible for simple order taking
Qualifications:
- Strong understanding of customers and their business model and workflows
- Industry experience within the customer segment
- Strong product knowledge
- Relationship building skills
- Selling skills (identity, develop and articulate a complex proposition/consultative selling)
- Strong negotiation skills
- Strong interpersonal skills, ability to develop and execute a sales plan, ability to use a variety of technology with a high level of proficiency
- Problem-solving ability to understand, articulate, structure and solve client needs
- Presentation and communication skills: ability to deliver presentations and communicate at all levels within an organization
- Ability to collaborate with account team
- Significant work experience in applicable industry and knowledge of customer workflow required
- Proven account management, sales or marketing experience in a customer facing environment required
Advantages:
- Awesome coworkers
- Pre-tax health care, dependent care and commuter benefits (FSA)
- Robust wellness program including financial education classes, team-based goal-tracking
- Competitive medical, dental, vision, life insurance & disability coverage
- Opportunity to be an owner in the company with stock awards and ESPP
- 401k Retirement Plan (Roth and Pre-Tax options available)
Financial Market Data Sales to Quants - Remote
AlgoSeek is growing fast as the top provider of financial market data to quant trading firms and we want you to join us in this exciting journey by consulting with clients about their needs, closing new accounts and managing our ever expanding client base.
Do you have market data experience, algo trading knowledge and good communication skills ? Can you talk to a quant portfolio manager or researcher about intraday market data, algo trading and backtesting?
You will be the senior person in the sales team and work with algoseek product and marketing teams to provide the best historical financial market data to banks, hedge funds, traders and academic users globally.
Remote position from anywhere working USA EST office hours.
Needs:
- Demonstrate deep understanding of financial market data, especially intraday data
- First hand experience of algo and quant trading
- Great spoken and written communication skills
- Ability to understand customer needs, expectations, data strategies and pain points, as well as organization structure and decision chain
- Talk to screened prospects about their data needs and how algoseek can help
- Negotiate contracts and close deals
- Build and embed a long term trusted advisor relationship with existing clients and keep expanding algoseek footprint
- Lead sales team as the industry expert
- Develop new clients independently under the guide of marketing
- Work with algoseek marketing team on client analysis and marketing campaign execution
Qualifications:
- Knowledge and experiences in financial data market
- Knowledge and experiences in quantitative trading, algorithm development, transaction cost analysis, etc
- Selling skills (identity, develop and articulate a complex proposition/consultative selling)
- Strong negotiation skill
- Problem solving —— ability to understand, articulate, structure and solve client needs
- Verbal and writing communication skills: ability to communicate at all levels within an organization
- Strong team value and ability to collaborate with R&D team, marketing team and other sales
- Understanding of Equity, Options, Futures and Cryptocurrency asset classes
Benefits:
- Awesome coworkers —— fun, supporting and challenging at the same time
- Remote work from any location with USA EST office hours
- Annual bonus and equity options plan to participate in growth of company
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No current vacancies available
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