Data Scientist Job at TIFIN Group LLC, Boulder, CO

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  • TIFIN Group LLC
  • Boulder, CO

Job Description

Get AI-powered advice on this job and more exclusive features. TIFIN AMP provided pay range This range is provided by TIFIN AMP. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $120,000.00/yr - $150,000.00/yr TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, SEI, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. OUR VALUES: Go with your GUT Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work.

WHAT YOU'LL BE DOING:

AMP provides Asset Management firms with unique insights to turbocharge their distribution of fund products through the US Intermediary/advisor-sold channel. Our centralized data platform leverages the combined data from all of our services, which is then enriched with partner and third-party data. We are looking for a Data Scientist that understands fund distribution, the data behind it, and supervised machine learning. The ideal candidate will use their asset management industry experience to drive fund distribution channel optimizations for our clients.

THE ROLE:

Design and implement solutions to deliver measurable ROI within our clients’ fund distribution channels Develop across the Data Science pipeline, from feature store ETL to batch transform jobs with trained ML models Model complex fund distribution problems and discover insights through the use of statistics, machine learning, and visualization techniques. Responsible for creating meaningful data visualizations to communicate results and highlight business impact

WHO YOU ARE:

2+ years of data science experience, ideally in the Asset Management or Wealth Advisory industry Proficient with Python and SQL Experience with feature engineering and training+tuning ML models. AWS Experience (ie Sagemaker, Redshift, S3) Experience with A/B testing, RCTs, or any statistical experiment is a bonus Must be able to drive appropriate documentation including requirements and technical documentation Bachelor’s in computer science or related field Ability to thrive in a highly demanding, entrepreneurial, and fast-paced environment An exceptional team player with strong communication skills A local presence in Denver/Boulder or Charlotte is preferred

COMPENSATION AND BENEFITS PACKAGE:

The expected starting salary range for this position in Colorado is between $120,000 - $150,000. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. TIFIN offers a competitive benefits package that includes: Medical, dental, vision, life and disability insurance Flexible Spending Account (FSA) and Health Savings Account (HSA) 401(k) Retirement Plan Flexible PTO policy and Company-paid holidays Parental Leave: 12 week paid maternity, 6 week paid paternity leave Corporate Social Responsibility and volunteering opportunities Access to our Chief Mindfulness Officer for Mindfulness events and 1:1 personal coaching Company sponsored events The ability to make a real impact in an incredibly fast-growing organization TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. Seniority level Associate Employment type Full-time Job function Other, Engineering, and Information Technology #J-18808-Ljbffr TIFIN Group LLC

Job Tags

Full time, Local area, Flexible hours,

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