Quant Data Scientist

Atyeti Boston , MA 02127

Posted 3 months ago

Inc. 500 & 5000 Honoree Company for 2012,2013,2014,2015 and 2016
Atyeti Ranks No. 270 on the 2012 Inc. 500 List
2012,2016 and 2017 NJ 50 Fastest Growing Companies
Global Investment Banking is looking for a Quantitative Data Scientist for its team in Boston MA..Long Term Contract

Please contact :Veena.Mahesh(at)Atyeti.com/

The Expertise Were Looking For
5+ years of financial industry experience
Education At least one advanced degree (Master or PhD level) in a technical discipline (including coursework in fields such as statistics, computer science, applied math, econometrics, etc)
Natural programmer, and demonstrated industry experience with statistics and data modeling
Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation
Industry contacts and an ability to hold a deep conversation in one or more of the following areas: electronic trading, asset management, consumer finance, and the Fintech industry landscape
Specific certifications CFA is a plus
Experience with financial data sets is a plus
The Purpose of Your Role
Within the Platform Analytics group in the Investment and Technology Solutions organization, you will be responsible for providing Project/Program Management oversight and direction for Artificial Intelligence and other analytics projects across Fidelity Institutional. You will work with a variety of partners and stakeholders to help identify, execute, and track the progress of multiple projects at the same time.
As part of a Product organization, you will also have the opportunity to work closely with Product Managers on various aspects of product rollout. As a member of an analytics group, there may be opportunities to get your hands dirty developing analytics solutions from time to time.
The Skills You Bring
Self-motivated, with a strong desire to learn new skills and technology.
Comfort managing multiple complex projects with a variety of stakeholders, including internal partners and external clients
A knack for identifying and improving process inefficiencies.
Ability to effectively prioritize work.
A working knowledge of analytics techniques and tools.
Ability to bring clarity and direction to ambiguous situations.
Strong analytical and problem solving skills.
Ability to proactively execute on identified opportunities

Thanks & Regards,

Veena Mahesh
Atyeti Inc. Dir: Cell: Fax:
Honoree for


See if you are a match!

See how well your resume matches up to this job - upload your resume now.

Find your dream job anywhere
with the LiveCareer app.
Download the
LiveCareer app and find
your dream job anywhere

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Data Scientist Applied Research Cortex


Posted 3 days ago

VIEW JOBS 12/14/2018 12:00:00 AM 2019-03-14T00:00 Data Scientist - Applied Research - Cortex Boston, MA Who We Are: Our mission at Twitter Cortex is to empower internal teams by providing a machine learning platform and modeling expertise and by unifying, educating, and advancing the state of the art in ML technologies within Twitter. Within Cortex, the Boston Product Modeling team works on applying ML modeling approaches that can have dramatic impact on core areas of the product. As an example, we have recently been involved in ML approaches to ensure healthy conversations on Twitter. We use machine learning, statistical modeling, data mining, time series modeling, and many other analytical techniques, we build prototypes, and we perform experiments — all applied at the scale of Twitter. What You'll Do: You will be a key member of the Cortex Boston Product Modeling team, which consists of experts in ML, data science, and software engineering. You will be working closely with our partners in engineering, product, design, and user research to directly influence the exciting new product areas that Twitter is building. You will: * Conduct analyses to learn from our vast amount of data, including exploratory data analysis, investigating A/B test results, observational and network data analysis, etc. * Analyze user behavior at scale, ranging from individual-level attributes to user populations. * Apply advanced statistical and machine learning techniques to model user behavior, identify causal impact and attribution, and build and benchmark metrics. * Use tools for interacting with large datasets such as Hadoop, Spark, and Presto. * Use Python or R (or similar) to conduct complex data analyses. * Use data visualization tools (e.g. Tableau or Zeppelin). * Communicate findings to executives and cross-functional product teams. Who You Are: * You communicate your findings clearly and empathetically to a wide audience of relevant partners, and are capable of building meaningful presentations and analyses that tell a "story". * You're capable of collaborating with our business, engineering, and product colleagues to discover new opportunities that benefit Twitter. * You're a pragmatic problem solver with a strong quantitative background and passion for deriving insights from data. * You're a self-starter who takes initiative and is capable of learning on the job. * You have experience owning complex projects from start to finish. * You're excited to learn and apply new data analysis techniques and tools. Requirements: * Masters or PhD dealing with quantitative analysis or commensurate work experience * Strong hands-on proficiency with at least one programming language such as Python, R, Java, Scala. * Experience using large scale quantitative customer data analysis to solve problems and answer questions * Experience with data visualization * Experience with social network data a plus We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Twitter Boston MA

Quant Data Scientist