Manager, Data Science (Non-Financial Risk)

KPMG US; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

KPMG US is seeking a Manager in Data Science focused on Non-Financial Risk. This role involves leading projects that leverage AI and machine learning to solve complex business problems. Candidates should have extensive experience in data science, a strong educational background in STEM, and the ability to manage teams effectively.

Benefits

Comprehensive benefits package

Career development opportunities

Flexible work environment

Qualifications

• Minimum six years of experience in advanced analytics and data science.
• At least two years managing teams and delivering complex projects.
• Experience with machine learning and statistical programming.

Responsibilities

• Lead projects to design and develop AI/ML solutions.
• Engineer solutions using NLP and machine learning techniques.
• Mentor junior data scientists and collaborate with teams.

Skills

AI/ML algorithm development

Data analysis

Natural Language Processing

Statistical analysis

Problem-solving

Education

Bachelor's degree in STEM field

Tools

Python

R

Pandas

Scikit-learn

Job description

Manager, Data Science (Non-Financial Risk)

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Manager, Data Science (Non-Financial Risk)

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KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Manager, NFR Data Science in Non-Financial Risk for our Consulting practice.

Responsibilities:

• Serve as the technical lead on projects to design and develop advanced AI/ML solutions to meet clients' unique requirements, including participation in internal and external discussions to gather business use case requirements, provide advanced analytics and data science expertise and solution options for business problems
• Engineer solutions using natural language processing and machine learning techniques to solve critical problems and improve processes for clients across capital markets and financial services businesses, including trade surveillance, electronic communications surveillance, payments fraud detection, third-party risk management and other operational risk categories
• Utilize machine learning, natural language, and statistical analysis methods, such as sentiment analysis, topic modeling, time-series analysis, regression, classification, statistical inference, and validation methods to review financial services client risks
• Perform explanatory data analyses, generate and test working hypotheses; prepare and analyze historical data and identify patterns to develop innovative solutions to financial services operational risk and regulatory compliance programs
• Lead technical teams, mentor junior data scientists, and grow data science expertise within the broader team, including offshore; collaborate with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that AI/ML solutions meet the needs and expectations of various stakeholders
• Present to key stakeholders, such as approach, data requirements, interim findings, and final solution architecture and infrastructure
  
  

Qualifications:

• Minimum six years of recent professional experience working in advanced analytics and data science; minimum two years of recent experience managing teams and delivering complex and critical projects
• Bachelor's degree from an accredited college/university in a relevant STEM field such as data science, computer science, engineering, mathematics, physics and other related fields
• Extensive experience in AI/ML algorithm development and data analysis including at least one of the following: NLP, time-series analysis, predictive modeling; experience with scripting, data structures and algorithms and ability to work with large amounts of data
• Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers)
• Excellent communication, written, presentation, and problem-solving skills
• Previous technical client service experience preferred
• Ability to travel as required (based on location and clients served)
  
  

KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at “Benefits & How We Work”.

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M116_3_25

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  General Business

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