[Remote] Senior Data Scientist - Fraud at Mercury

New York, New York, United States

Mercury Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, BankingIndustries

Requirements

  • 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 1+ years of relevant domain experience
  • Proficiency in SQL and experience using it to understand and manage imperfect data
  • Proficiency in Python and experience with statistical modeling and machine learning
  • Experience deploying and monitoring machine learning models in production
  • The ability to balance high-leverage projects with foundational work such as reporting, dashboarding, and exploratory analyses
  • Comfort working in a fast-paced environment with evolving priorities

Responsibilities

  • Develop dashboards and monitoring systems to track key fraud and account health metrics
  • Conduct deep-dive analyses to understand fraud trends and behaviors, and translate findings into actionable recommendations
  • Build, validate, and deploy machine learning models to identify and prevent fraud in real time
  • Support ad hoc investigations and ensure data quality and reliability across pipelines and tools
  • Collaborate with Risk Strategy and Engineering to optimize rules, scoring systems, and other fraud defenses
  • Partner with cross-functional teams (Engineering, Product, Design, Operations) to embed data insights into decision-making

Skills

Key technologies and capabilities for this role

Machine LearningModel DeploymentDashboardsData AnalysisFraud DetectionData PipelinesMonitoring SystemsRisk ScoringSQLPython

Questions & Answers

Common questions about this position

What is the compensation package for this role?

The total rewards package includes base salary, equity (stock options), and benefits, with salary and equity ranges that are highly competitive within the SaaS and fintech industry.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Senior Data Scientist role?

Required skills include 5+ years analyzing large datasets, proficiency in SQL for imperfect data, proficiency in Python with statistical modeling and machine learning, and experience deploying and monitoring ML models in production.

What is the company culture like at Mercury?

Mercury offers a fast-paced environment with evolving priorities, emphasizing collaboration across product, engineering, risk, and other teams to protect customers while delivering seamless experiences.

What makes a strong candidate for this position?

Strong candidates have 5+ years with large datasets and domain experience, proficiency in SQL and Python for ML, production ML deployment experience, and the ability to handle both high-leverage projects and foundational work in a fast-paced setting.

Mercury

Banking services for startups and founders

About Mercury

Mercury provides banking services specifically designed for startups, regardless of their size or stage of development. Their offerings include free checking and savings accounts, debit and credit cards, and options for domestic and international wire transfers, as well as treasury and venture debt services. The platform is user-friendly, allowing founders to manage their finances with ease. What sets Mercury apart from traditional banks is its focus on the startup community, offering programs that connect founders with valuable resources and advice to help them succeed. The goal of Mercury is to empower startups by providing them with the financial tools and support they need to grow and thrive.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$146.8MTotal Funding
DEBTCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Health, dental, & vision
Custom equipment setup
401(K) matching
12+ weeks paid parental leave
Book budget
Wellness benefits
Grocery budget
Paid lunch
Personalized callsign
Unlimited vacation policy (with mandatory minimum)

Risks

Mercury's decision to stop serving certain countries may lead to customer loss.
Integration challenges from the Teal acquisition could disrupt services.
Expansion into consumer banking might divert focus from core startup services.

Differentiation

Mercury offers both business and personal banking services, unlike many fintech competitors.
The company provides integrated financial management tools, enhancing startup operational efficiency.
Mercury's Raise program connects startups with investors, mentors, and other founders.

Upsides

Mercury secured a $100 million credit warehouse to expand its credit card business.
The acquisition of Teal enhances Mercury's financial management offerings for startups.
Mercury Personal expands market reach by attracting tech-savvy individuals.

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