Sr. Manager, Data Analyst - AML MADI

Description

The company began in 1988 by using statistical models and relational databases to tailor each credit card offer to an individual. It has since grown into a Fortune 200 company that relies heavily on data to make decisions.

As a Senior Manager, you will work with teams across the company to check that analytical tools affecting business results are sound. You will build your technical and analytical skills and advise leaders on business strategy. You will join a group of hundreds of data analysts, quants and data scientists working on projects tied to the bottom line, with attention paid to work/life balance.

The role is fast-paced and entrepreneurial. You will manage several projects at once, working both alone and with others.

Responsibilities

• Help refine a new validation framework for analytical tools that applies across the company.
• Plan and run validation projects.
• Evaluate how sound the methods behind analytical tools are, how much risk they carry, and how the tools are used within those processes across the company.
• Work through technical issues in analytical tools and weigh their risks against their opportunities.
• Independently research and prototype industry best practices for emerging analytical tools.
• Present results clearly, in writing through validation reports and in presentations.
• Draw on your education, colleagues and training to build solutions to business problems.
• Coach and mentor junior staff.

Requirements

• Bachelor's degree completed or in progress in a quantitative field such as statistics, economics, operations research, analytics, mathematics, computer science or a related field, plus at least 7 years of data analytics experience. Alternatively, a Master's degree completed or in progress plus at least 5 years of data analytics experience, with the required degree obtained by the scheduled start date.
• At least 5 years of professional data analysis work.
• At least 5 years leading and building with open source data technologies.
• At least 2 years managing people.
• Strong problem solving and conceptual thinking, along with communication, interpersonal and leadership skills.
• Preferred: Master's degree or PhD in finance, economics, statistics, mathematics, industrial engineering, operations research, or a related field.
• Preferred: At least 7 years of hands-on statistical or econometric work.
• Preferred: At least 5 years manipulating large data sets and analyzing them.
• Preferred: At least 5 years in financial services.
• Preferred: At least 5 years developing statistical or econometric models.
• Preferred: At least 5 years validating statistical or econometric models.
• Preferred: At least 2 years in data governance.
• Preferred: At least 2 years in predictive analytics.

Conditions

Hybrid role. You must follow the company's hybrid policy on required on-site presence at your designated office.

Full-time annual salary for the Sr. Data Analysis Manager role: Plano, TX $182,500 to $208,300; McLean, VA $200,700 to $229,100; Richmond, VA $182,500 to $208,300; Chicago, IL $182,500 to $208,300. These ranges apply only to hires working in those locations and reflect what the company is willing to pay at the time of posting. Part-time pay is prorated by agreed hours. Other locations follow their own range, and the exact salary appears in the offer letter.

Applications will be accepted for a minimum of 5 business days.

The company will consider sponsoring a new qualified applicant for employment authorization for this position.

Agencies are not accepted.

Roles posted in Canada, the United Kingdom or the Philippines are employed by separate group entities.

Equal opportunity employer, including disability and veteran status. Drug-free workplace. Applicants with criminal histories are considered in line with applicable laws.

Benefits

• Comprehensive health, financial and other benefits that support overall well-being. Eligibility depends on full- or part-time status, exempt or non-exempt classification and management level.
• Eligible for performance-based incentive pay, which may include cash bonuses and/or long-term incentives. Incentives may be discretionary or non-discretionary depending on the plan.