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Job Description: At Bank of America, 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. Bank of America 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 Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: Client Protection is looking for an experienced analytical leader to join the digital commerce fraud strategy team. This is an exciting opportunity given the constantly evolving nature of digital adoption and attacks in marketplace as well as in money movement. The incumbent will be responsible for managing a team focused on fraud and scam prevention strategies for key digital money movement channels. Responsibilities will include, working across multiple lines of business; partnering with product, technology, operations, vendors, and others; responsibility for the overall first party fraud loss line; and evaluating various internally developed and vendor provided machine learning tools to maximize client experience while managing fraud most effectively. As a Fraud Strategy Manager with the Client Protection organization, you will capitalize on technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. You will join a team of fraud professionals who are dedicated to stopping criminals and protecting customers. In the role you will spend time analyzing difficult problems as we try to stay one step ahead of the fraudsters. You will develop complex defenses designed to minimize the impact to good customers while maximizing fraud loss avoidance. You will work across multiple partner organizations and represent our team as a subject matter expert. We are looking for someone with strong communication skills, sound business judgement, results oriented with a track record of thriving in a fast-paced entrepreneurial environment. The role will be responsible for several key areas: • Develop and implement robust third-party fraud and scam detection program rooted in digital space to safeguard the organization against financial fraud. • Provide recommendations on mitigation efforts, ensuring monitors are in place, and will self-create initiatives as needed. • Lead a team of fraud analysts in the identification, investigation, and mitigation of fraud activity. • Collaborate with cross-functional teams to integrate fraud detection measures into existing systems and processes. • Stay abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies. • Analyze data and conduct investigations to identify patterns, trends, and anomalies indicative of potential fraud. • Identifying new sources of data (internal or vendor-provided) that can enrich our existing detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology. • Drive the development of new models designed to detect fraud activity. • Ensuring proper risk controls are deployed, while adhering to best practices. • Provide oversight on defect reviews of 3rd party/scam loss cases to identify any gaps in Fraud strategy and/or procedural adjustments. • Providing fraud requirements, testing, and development of strategies for new project and endeavors • Lead the team to Develop, implement, and continuously improve fraud detection algorithms and systems. Perform regular audits and analysis of transaction data to detect new fraud trends. • Guiding team to Develop new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats. • Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention. • Monitor Strategy performance and Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies. • Systems Integration: Integrate fraud detection systems with core banking and transaction processing systems using APIs and middleware solutions. Collaborate with IT and software development teams to ensure seamless integration and functionality of fraud management systems. Manage and optimize the performance of fraud detection systems and tools. • Policy and Strategy Development: Stay updated with the latest fraud trends, regulatory requirements, and best practices. Lead the creation and refinement of fraud detection and prevention strategies. • Work closely with compliance, legal, risk management, and other relevant departments to align fraud management efforts with organizational goals. Conduct training sessions and workshops to educate staff on fraud detection techniques and policies. • Identify process improvements and efficiencies via data analysis. • Deliver accurate metrics related to fraud and claim activity. Validate the integrity and quality of data required for performing analysis. • Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals. Required Qualifications: • 3+ years of experience in advanced to expert level in SQL and SAS • Minimum 7 years of work experience in large financial institution with specialization in data analytics • Minimum 5 years of experience in managing teams. Desired Qualifications: • The candidate must be at an advanced to expert level in SAS and SQL. Should also have familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue will be useful. • Experience in Statistical model utilization • 3+ years of decision tree development • Experience in managing fraud for digital products (Zelle, Wires, ACH, Bill pay) • Expertise in fraud detection and management platforms, specifically SAS Fraud Management and creation of user defined variables for rule development. • Ability to work in a fast-paced, dynamic environment is critical. • Must have exceptional organizational, project management and communications skill. • Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results. • Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds. • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes. • Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.) • Proven strong analytical and communication skills. • Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. • Bachelor’s degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance, or business. Skills: <ul> <li>Analytical Thinking</li> <li>Business Analytics</li> <li>Data Mining</li> <li>Fraud Management</li> <li>Business Process Analysis</li> <li>Critical Thinking</li> <li>Influence</li> <li>Relationship Building</li> <li>Strategy Planning and Development</li> <li>Business Case Analysis</li> <li>Issue Management</li> <li>Leadership Development</li> <li>Process Performance Measurement</li> <li>Recruiting</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Fraud Analytics and Innovation Senior Leader - Client Protection

Job Description: At Bank of America, 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. Bank of America 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 Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services – Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: <ul> <li>Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights</li> <li>Applies agile practices for project management, solution development, deployment, and maintenance</li> <li>Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production</li> <li>Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment</li> <li>Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables</li> <li>Supports the identification of potential issues and development of controls</li> <li>Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics</li> <li>Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology</li> <li>Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks</li> <li>Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts</li> <li>Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business</li> <li>Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance</li> <li>Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics</li> <li>Identifies business trends based on economic and portfolio conditions and communicates findings to senior management</li> <li>Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights</li> <li>Link Analysis/Graph analytics to find and mitigate densely connected fraud networks</li> <li>Developing and tuning graph algorithms to maximize detection of fraud</li> <li>Assist with the generation, prioritization, and investigation of fraud rings </li> </ul> Required Qualifications • Minimum of 4 years of experience in data and analytics • Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages • Must be proficient with SQL and one of SAS, Python, or Java • Critical problem-solving skills including selection of data and deployment of solutions • Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team • Excellent communication and influencing skills • Thrives in fast-paced and highly dynamic environment • Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions • Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) • Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications • Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) • 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas • Deep understanding of graph databases, graph algorithms, and experience developing graph schemas • Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques • Proficient with H2O or similar advanced analytical tools • Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects • Experience influencing mid to senior (executive) level leaders • Experience managing risk and issue remediation • Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: <ul> <li>Agile Practices</li> <li>Application Development</li> <li>DevOps Practices</li> <li>Technical Documentation</li> <li>Written Communications</li> <li>Artificial Intelligence/Machine Learning</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Adaptability</li> <li>Collaboration</li> <li>Consulting</li> <li>Networking</li> <li>Policies, Procedures, and Guidelines Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Data Scientist  II  - Graph Data Platform - Client Protection

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Detailed Job Description Bank of America’s Global Risk Management business is looking for a Quantitative Financial Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc. </li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> <li> Ability to analyze and find interesting patterns in data with at least one of the following:<ul> <li>Experience in implementing distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc. </li> <li>Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> </ul> </li> <li>Experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences.</li> <li>Ability to effectively present findings, data, and conclusions to senior leaders.</li> <li>Ability to operate independently with minimal supervision to deliver sub tasks as well as ability to participate in group settings.</li> </ul> Preferred skills: <ul> <li>Experience in machine learning / AI models</li> <li>Experience with large scale financial data sets</li> <li>Experience to code independently with minimal oversight in at least one programming language like Python or Java.</li> </ul> Minimum Education Requirement: Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines. Shift:1st shift (United States of America) Hours Per Week: 40

Quantitative Finance Analyst - Markets Behavior Analytics Group

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! The Risk Process Analyst is responsible for supporting the development and execution of capabilities that include models, analytical tools, and tests used for risk management. Key responsibilities include obtaining an understanding of Bank-wide processes, including their risks, underlying data, and process steps, and using that knowledge to build capabilities for the Front Line Units/Control Functions to better manage their risk and operational effectiveness. This role supports other risk analysts and managers to complete a set of task aligned to risk and data management. Job Description Summary Bank of America’s Global Risk Management business is looking for a Risk Process Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc.</li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>Ability to analyze and find interesting patterns in data with at least one of the following:</li> <li>Implement distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc.</li> <li>Build user facing UI applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> <li>Knowledge and working experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences</li> <li>Ability to effectively present findings, data, and conclusions to members of the team and management.</li> <li>Ability to operate independently with guidance to deliver sub tasks and the ability to participate in group settings.</li> <li>0-2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> </ul> Preferred skills: <ul> <li>Knowledge and experience in machine learning / AI models</li> <li>Knowledge and experience with financial data sets</li> <li>Ability to code proficiently in at least one programming language like Python or Java.</li> <li>Proficiency in SQL and in at least one NoSQL data store.</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Risk Process Analyst - Market Behavior Analytics

Job TitleSpatial Data ManagerJob Description SummaryThe role of the Spatial Data Manager (SDM) will be responsible for day-to-day functionality of the client’s Space Management tool including data integrity of CAD floor plans, occupant data and reporting (regular or ad hoc) for a client portfolio or set of buildings.Job DescriptionPrinciple Responsibilities• Contribute subject matter expertise in the areas of spatial data management, CAD / CAFM administration, space and occupancy data analytics and space utilization measurement.• Ensure compliance of client space data standards, establish a consistent data governance model.• Provide vital linkage between space management platform and industry best practices; introduce innovation to the account team/client.• Hold expertise in CAD/CAFM and the methodologies and calculations used to generate and analyze allocation deliverables.• Provide support as necessary to peer teams as it relates to space, occupancy and / or utilization data.• Contribute to data governance process - control of input sources and data consistency• Contribute to data confidence - control of data measurement standards and KPI’s• Establish core program standards for global space naming conventions, allocation model application, drawing standards and reporting standards• Establish working relationships and guides the development of roles and responsibilities with partners• Establish governance program/process and data quality assurance reporting for global consistency of portfolio space and occupancy data• Proactively monitor the execution of the client space allocation model and delivery of reporting in accordance with client space allocation process• Serves as SPOC and global system administrator for client space data management system, enforcing user controls and system continuity• Enable all system integration efforts with the CAFM system to further enhance the availability and quality of spatial and occupancy data• Recommend process improvements and performance enhancements in the use of the client space data management system• Provides space data management system training for system users• Responsible for guiding and reviewing recommendations to enhance operational efficiency, service delivery, cost savings, and innovative service advancements for all functional areas• Coach the space team leadership in effective space planning and FF&amp;E solution development, ensuring compliance with established process workflows and consistent service delivery for all project typesRequirements• BA/BS degree or equivalent combination of education, training and experience in Architectural Technology, Space Planning, Space Data Management, Data Analytics or Occupancy Planning• 4 to 8 years experience in a corporate real estate environment• Proficient in MS Office Suite software applications• Proficient with AutoCAD• Experience with CAFM systems preferred• Experience with Serraview preferred• Demonstrates proficiency in architectural and engineering drawings, concepts &amp; design• Excellent customer service and interpersonal relationship skills• Ability to work independently and as part of a team• Able to build strong relationships with internal and external partners to deliver effective services• Strong oral, written and presentation skills• Assumes ownership of requests in order to ensure successful completion• Strong attention to detail and quality with ability to handle concurrent projects with minimal supervision and direction#LI-Remote#Remote Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $81,600.00 - $96,000.00Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email <a href="#">HRServices@cushwake.com</a>. Please refer to the job title and job location when you contact us.INCO: “Cushman &amp; Wakefield”

Cushman & Wakefield

Spatial Data Manager

Job Description: At Bank of America, 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. Bank of America 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 Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for providing risk oversight and advice to the Line of Business (LOB) on risk management issues. Key responsibilities include identifying risks to which the LOB is exposed, implementing measures to prevent and mitigate losses, and monitoring risk outcomes. Job expectations may include the ability to recognize all risk categories including credit, market, operational and compliance, as well as directing risk staff or participating in establish risk management procedures and standards. Responsibilities: <ul> <li>Participates in establishing risk management procedures and standards</li> <li>Conducts execution of risk framework activities including independent monitoring and testing of controls and risk management processes for the Line of Business (LOB)</li> <li>Liaisons with businesses to understand market trends and impacts on portfolio, using knowledge of stress testing and its applicability to risk categories</li> <li>Ensures adherence to the policies and procedures established by the company</li> <li>Manages risk requests, breach remediations and providing risk effective challenges for front line units</li> <li>Develops risk management analyses, reports, and approval procedures and guidelines on risk limits by type of product and/or transaction</li> </ul> Managerial Responsibilities: This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above. <ul> <li>Diversity &amp; Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company D&amp;I goals.</li> <li>Manager of Process &amp; Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.</li> <li>Enterprise Advocate &amp; Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.</li> <li>Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.</li> <li>People Manager &amp; Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.</li> <li>Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.</li> <li>Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.</li> <li>Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.</li> </ul> Key Requirements: <ul> <li>Minimum of 5 years of risk management, risk quantitative/qualitative modeling or other experience in the financial services industry</li> <li>Proficiency with analysis of financial data and quantitative techniques (linear/logistic regressions, clustering algorithms, data transformation techniques, etc.)</li> <li>Proficiency with programming (Python or R) and Excel and best practices around coding</li> <li>Strong analytical mindset and effective problem-solving skills</li> <li>Attention to detail and ability to work with minimal supervision</li> <li>Experience with data analytics and visualization tools (e.g., Tableau, Alteryx, MicroStrategy)</li> <li>Strong personal drive, individual initiative, a sense of urgency, and responsiveness, with a desire to grow, learn, and take on increasing levels of responsibility</li> <li>Demonstrates commitment to excellence by anticipating needs, mitigating risks and minimizing potential problems</li> <li>Ability to multi-task with excellent time management skills, manage projects and pivot between tactical and strategic tasks</li> <li>Prior exposure to liquidity, capital or interest risk management a plus</li> </ul> Skills: <ul> <li>Analytical Thinking</li> <li>Coaching</li> <li>Critical Thinking</li> <li>Liquidity Management</li> <li>Collaboration</li> <li>Oral Communications</li> <li>Portfolio Analysis</li> <li>Presentation Skills</li> <li>Written Communications</li> <li>Issue Management</li> <li>Monitoring, Surveillance, and Testing</li> <li>Regulatory Compliance</li> <li>Technical Documentation</li> <li>Trading Strategy</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

6 Data Science Jobs in Chicago, IL, USA