Global AML Operations - Client Quantitative Analyst I

United States Digital Space LLC; Charlotte (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

United States Digital Space LLC is seeking a Client Quantitative Analyst to support analytical work for financial services projects. You will leverage databases to acquire client and performance data, transform it into meaningful insights, and present findings to leaders to guide business decisions.

The role requires experience with SQL, SAS, Python, Spark/Scala, and the ability to translate complex data into clear recommendations for non-technical partners.

Qualifications

• Bachelor's Degree or higher in finance, math/statistics, computer science, or a quantitative field.
• 2+ years of experience in applied data science or quantitative research.
• Experience with Hadoop or similar big data platforms.
• Ability to translate data into actionable business insights.
• Strong written and verbal communication for non-technical audiences.

Responsibilities

• Support analytical work efforts across projects within a line of business.
• Leverage databases to acquire client and performance data and transform it into insights.
• Deliver insights to leaders to inform complex business decisions.
• Communicate complex data outputs clearly to business partners using PowerPoint, Excel, Tableau.
• Collaborate with partners to coordinate priorities and maintain data quality.

Skills

Data Analytics

Data Mining

Analytical Thinking

Data Visualization

Business Intelligence

Data Quality Management

Continuous Improvement

Innovative Thinking

Education

Bachelor’s degree in finance/math/statistics/CS

Master’s degree (desired)

Tools

SQL

Python

Spark/Scala

Tableau

Hadoop

PowerPoint

Excel

Job description

Job Description:

At the company, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

the company is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At the company, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.

Responsibilities:

• Supports the extraction of data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms
• Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights
• Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions.
• Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables
• Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau
• Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership
• Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity

As a Client Quantitative Analyst, your main responsibilities will involve:

• Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, and technology
• Independently conducting quantitative analytics and developing new innovative analytic processes when needed
• Applying quantitative methods to further analytical capabilities that support BSA/AML compliance programs
• Maintaining and continuously enhancing these capabilities over time to respond to the changing nature of risks, economic conditions and evolving client behavior

Required Qualifications:

• Ability to use data tools and techniques to find and deliver data from various sources of record
• Proven communications skills in describing complex data to inform strategic insights and decisions
• Bachelor's Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
• Coursework in finance, math/statistics and/or computer science
• 2+ years of experience in applied data science or quantitative research or related role
• Strong analytical and problem-solving skills
• Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics to a non-technical audiences
• Ability to manipulate data from structured and unstructured sources
• Experience extracting and merging data from different database environments, including Hadoop
• Ability to work effectively in a fast-paced high-consequence environment

Desired Qualifications:

• Master's Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world
• Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions
• Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques
• Effective at prioritization/time and project management
• Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution
• Experience gathering and communicating business requirements between technology product owners and engineering teams

Skills:

• Business Analytics
• Data Mining
• Data and Trend Analysis
• Analytical Thinking
• Business Intelligence
• Data Quality Management
• Data Visualization
• Application Development
• Business Acumen
• Continuous Improvement
• Innovative Thinking
• Quality Assurance

Shift:1st shift (United States of America)

Hours Per Week:40