Working at Preston Ventures

A central tenet of our heritage and our business is to seek out the best people and hire those qualified and eager to meet the unusually high expectations of our firm. We dedicate ourselves to creating exceptional value for our clients and continuously look for talented individuals to join our growing team.

Preston Ventures employees share several attributes. They are committed to putting our clients first, providing the highest level of service, and innovating new ways to preserve and grow our clients’ investments. We believe success results from collaboration, and we hire leading industry professionals ready to work as part of our global team.

The culture of the company is entirely unique. Made of up highly intelligent and high-energy individuals, the team celebrates the success of each of its members and values each and every individual equally. A culture of charity towards others, combined with high expectations for results, leaves no room for hierarchy or politics.

Positions

JOB DESCRIPTION: SENIOR DATA SCIENTIST
PRESTON VENTURES, ALISO VIEJO, CA

This is a director level position focused on supporting the business and analytical teams.  The ideal candidate will have an extensive background in math and probabilities and advanced analysis expertise.  A successful candidate will be passionate about finding insights in data and using quantitative analysis to answer complex questions, with a collaborative and resourceful style.  The right candidate will need to operate independently and flexibly, identifying opportunities for insightful analytics and responding rapidly to ad hoc requests.  The company supports some of the world’s largest funds as an outsourced analytics and solutions provider.  They are highly entrepreneurial, consistently evaluating different industries and markets for opportunities.  Logical, linear thinking, and an ability to communicate rationale for analysis and defense of results will be important.

RESPONSIBILITIES:

  • Execute projects end-to-end, starting with problem formulation, solution architecture, as well as product implementation and integration
  • Research, develop and code the company’s core statistical and machine learning models to conduct predictive and prescriptive modeling on the company’s data and available and relevant third-party data
  • Integrate the outcomes as real time data products to elevate the company’s ability to provide enhanced pricing and forecasting for mortality-based assets and investments
  • Synthesize facts, theories, trends, influences and key issues and/or themes in complex and variable situations
  • Apply advanced math and statistical tools and programming languages to invent and evaluate algorithms/model designs to solve problems and guide business decisions
  • Evaluate tools and techniques that can raise the level of analytics at the company

QUALIFICATIONS:

  • Masters / PhD degree in Computer Science, Statistics or Applied Math or related field required
  • A minimum of 7 years’ experience in a technical role, including a minimum of 3 years in a data science role required
  • Strong programming background in SQL
  • Expert level knowledge of building algorithms in Python or R
  • Experience deploying statistical (Logistic Regression, Time Series/ Survival Analysis, Bayesian) and machine learning (Decision Trees, SVM, Clustering) algorithms
  • Interest in exploring and applying deep learning (CNN, RNN, GAN) to unstructured data
  • Strong presentation and communication skills
  • The following are considered pluses in an ideal candidate:
    • Previous experience presenting or lecturing to large groups
    • Experience working with large datasets using big data technologies (Spark, Hive, Hadoop)

Email your resume to: Careers

JOB DESCRIPTION: DATA ENGINEER
PRESTON VENTURES, ALISO VIEJO, CA

This is a manager level position focused on supporting the business and analytical teams.  The ideal candidate will have a strong programming skill set and significant distributed systems expertise.  While the company outsources the maintenance of its database, this individual will also be responsible for providing direction to the outsource database and IT providers and leading the overall database systems strategy and execution.  The company supports some of the world’s largest funds as an outsourced analytics solutions provider.  The right candidate will need to operate independently and flexibly, identifying opportunities for insightful analytics and responding rapidly to ad hoc requests.  The company is highly entrepreneurial, consistently evaluating different industries and markets for opportunities.  Logical, linear thinking, and an ability to communicate rationale for analysis and defense of results will be important.

RESPONSIBILITIES:

  • Engineer a modern data pipeline, to collect, cleanse and process diverse data from internal and external sources
  • Develop and document data features to facilitate analytics and model development
  • Create highly reusable code modules and packages that can be leveraged across the data pipeline
  • Integrate the outcomes as real time data products to elevate our ability to provide enhanced forecasting and pricing of mortality-based investment assets
  • Identify and ingest open source as well as proprietary third party data that will extend the Company’s ability to perform advanced analytics
  • Present results in a professional manner, while communicating and defending methods and logic used
  • Create queries, exports, and interfaces to facilitate reporting and analysis across the company
  • Manage, oversee and interface with database system vendors and other third party collaborators
  • Manage data imports and onboarding of new clients and/or portfolios into the database
  • Provide direction around the company’s data management procedures and policies

QUALIFICATIONS:

  • Bachelor’s degree in Computer Science, Statistics or Applied Math or related field required
  • A minimum of 7 years’ experience in a technical role, including a minimum of 3 years in a data analysis/data science role required
  • Strong programming background in SQL and Python (or similar)
  • Expertise in database systems, ETL, data modeling and data governance
  • Proficiency in feature engineering (transformation, binning, dimensionality reduction techniques)
  • The following would all be considered significant pluses in the ideal candidate:
    • Experience working with large datasets; comfortable with big data technologies (Spark, Hive, Hadoop ecosystem)
    • Experience with insurance or consumer financial data
    • Strong Microsoft Excel skillset including: model building, model optimization, monte carlo modeling, VBA, macros, complex lookups, etc.

Email your resume to: Careers