3 Analytical Models Jobs

As a DWS Risk Manager - Investment Risk Models, AVP at Deutsche Bank Group in Pune, India, you will play a crucial role in overseeing the investment risk of DWS fiduciary portfolios. Your responsibilities will include developing, testing, and documenting both in-house and vendor-provided models, as well as designing and implementing compensating controls to address identified model weaknesses. You will be responsible for maintaining and enhancing existing risk models to deliver high-quality analytics and insights for the Investment and Product Divisions. Additionally, you will coordinate and document model development activities in collaboration with model vendors and key stakeholders to contribute to the development and continuous improvement of the Model Risk Program for Investment Risk in liquid products. To excel in this role, you should possess a Masters degree in mathematics, Statistics, Quantitative Finance, Physics, or a related field; a PhD is a plus. You must have a minimum of 5 years of proven experience in the financial industry, ideally in Model Development, Model Validation, Valuation, Risk Management, or Portfolio Management. Demonstrated expertise in developing and applying analytical models for financial instruments is essential, along with familiarity with regulatory frameworks related to model risk in the asset management industry. Strong programming skills in languages such as Python, MATLAB, or R, as well as experience with databases (SQL) are required. Prior experience with BlackRock Solutions Aladdin is preferred. Excellent verbal and written communication skills are necessary to effectively communicate with management, and a proactive mindset with a focus on process improvement and innovative solution development is key. Strong organizational skills and the ability to manage multiple priorities effectively are also essential. At Deutsche Bank Group, you will have access to training and development opportunities to excel in your career, coaching and support from experts in your team, and a culture of continuous learning to aid progression. The company strives for a culture where employees are empowered to excel together every day, acting responsibly, thinking commercially, taking initiative, and working collaboratively. Deutsche Bank Group promotes a positive, fair, and inclusive work environment and welcomes applications from all people. Join Deutsche Bank Group and be part of an industry-leading firm with a global presence. Lead ambitious opportunities, shape the future of investing, and support clients, local communities, and the environment. As a DWS Risk Manager - Investment Risk Models, AVP, you will have the chance to achieve your goals and lead an extraordinary career while working alongside some of the industry's greatest thought leaders. As Investors for a new now, together we share and celebrate the successes of our people.,

Position Overview About DWS: Today, markets face a whole new set of pressures but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. Were looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. Thats why we are Investors for a new now. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients financial future. And in return, well give you the support and platform to develop new skills, make an impact and work alongside some of the industrys greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. About DWS Investment Risk: The Chief Risk Office within DWS is an independent function responsible for protecting the business as well as being a trusted adviser and partner for supporting sustainable business growth. As part of the Chief Risk Office, the Investment Risk team is in charge of independent oversight of investment risk of DWS fiduciary portfolios. In this role, it designs and executes the risk programs to identify, measure, control and manage market, liquidity, sustainability, and counterparty risk of fiduciary portfolios. This includes the regular monitoring, analysis, and reporting of risk to portfolio management and DWS management boards. Your key responsibilities: Conduct portfolio risk monitoring, analysis, and reporting across risk types (market risk, liquidity risk, and counterparty risk) and asset classes (e.g. equity, fixed income, and commodities) Conduct Swing Pricing monitoring and analyses, including assessment on transaction costs and available liquidity management tools Perform data quality analysis and recalculation of risk metrics Conduct scenario calibration and model parameterizations Prepare Investment Risk materials for governing bodies Support DWS Risk projects including Swing Pricing and others What we are looking for: University degree in Finance or quantitative field, Chartered Financial Analyst or Financial Risk Manager designations a plus At least 4 years of proven experience in the financial services industry, with experience in different risk functions (market, counterparty, credit, liquidity) preferably within a buy-side firm Proven experience with analytical models for financial instruments Previous experience with BlackRock Solutions Aladdin preferred Strong knowledge of risk management across a diverse set of instrument types, business mandates, and risk disciplines (market risk, liquidity risk, counterparty risk) Excellent verbal and written communications skills, with ability to communicate issues to management proactively and effectively Proactive mind-set to implement process improvements and new solutions Strong organizational skills and ability to manage competing priorities Strong working knowledge of MS Word, Excel, PowerPoint, SQL, and Python What well offer you: A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. Thats why we are committed to providing an environment with your development and wellbeing at its center. You can expect: Competitive salary and non-contributory pension 30 days holiday plus bank holidays, with the option to purchase additional days. Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide-ranging CSR program + 2 days volunteering leave per year. How well support you: Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.,

Department/ Group : Advanced Rail Technology Job Description, duties & responsibilities Progress Rails data science team is looking for a motivated and talented Data Scientist who will primarily focus on developing Machine Learning/Artificial Intelligence based data models for condition-based monitoring of its assets. In this role, the candidate will contribute to the design, development and deployment of world class rail products and services vital to our customers needs. Reporting to the Director of Data Science, this role will enable innovative, strategic, and high-tech solutions for the rail industry through the application of specialized knowledge, skills, and abilities. Work involves independent judgement, problem solving skills, resourcefulness, teamwork, and creativity in ambiguous situations. A high degree of personal initiative is a prerequisite. Typical data science team efforts are a combination of some, or all the key job elements listed below. The ideal candidate is an experienced self-starter, strong attention to details, with excellent written and verbal skills. Enjoys working in a collaborative, fast-paced, environment and is willing to take on roles outside of comfort zone. Technical aptitude and being well versed in Machine Learning and Data Science tools and processes is a must. The role will work closely with the different engineering teams. Key Job Elements Contribute to the design, development, testing, and deployment of software systems and applications. Processing, cleansing, and verifying the integrity of data used for analysis. Apply Machine Learning and other advanced analytical techniques to develop models for condition-based monitoring of locomotive systems. Apply Natural Language Processing (NLP) and Large Language Model (LLM) to support text mining, document summarization and others. Understand the business needs and develop data-based solutions. Doing ad-hoc analysis and presenting results in a clear manner Supporting field reported issue resolution through data analysis System integration of Machine Learning models Mentor and assist data scientists providing technical assistance and direction as needed Technical Skill Experienced Data Scientist with 7+ years experience in Data Extraction, Data Modelling, Data Wrangling, Statistical Modeling, Data Mining, Machine Learning and Data Visualization. Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining, and reporting solutions that scale across a massive volume of structured and unstructured data. Proficiency in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, testing and validation and data visualization. Expertise in applying Machine Learning algorithms (such as Regression Models, XGBoost, Neural Network, and others) for predictive analytics. Experience in Generative AI developing LLM based solutions for document search/summarization using RAG architecture. Expertise in applied statistics skills, such as distributions, statistical testing, regression, etc. Strong experience with Python, SQL, and R. Experience and knowledge of AWS cloud which includes Machine Learning related services, S3, Elastic search, Lambda, and others. Experience in integrating Machine Learning models into larger deployed systems. Proficiency in data visualization tools such as PowerBI, Python Matplotlib, R Shiny to create visually powerful and actionable interactive reports and dashboards. Experience in Natural Language Processing and Text Mining. Strong business sense and abilities to communicate data insights to both technical and non-technical clients. Competent to perform all job duties without close supervision. Desired : Rail industry experience Experience in developing models using telematics (sensor) data from equipment such as engines, machines, and others. Qualifications and Education Requirements B.S, M.S, or PhD degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree. 7+ years of data science experience with B.S., or 5+ years of experience with Advanced degrees 7+ years of experience with Python, R, SQL, and relational data bases